h& #L$
! " # $ % & ' ( ) * + , - . / 0 1 2 3 4 5 6 7 8 9 : ; < = > ? @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z [ \ ] ^ _ ` a b c d e f g h i j k l m n o p q r s t u v w x y z { | } ~
! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! " " " " " " " " " " " " " " " " " # # # # # # # # # # # # # $ $ $ $ $ $ $ $ $ $ $ $ $ $ % % % % % % % % % % % % % % & & & & & & & & & & & & & & & & & & & & & & & & ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) * * * * * * * * * * * * * * * * * * + + + + + + + + + + + + + + + + + + , , , , , , , , , , , , , , , , , , - - - - - - - - - - - - - - - - - - . . . . . . . . . . . . . . . . . . / / / / / / / / / / / / / / 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 : : : : : : : : : : : : : : : : ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; < < < < < < < < < < < < < < = = = = = = = = = = = = = = = = = = > > > > > > > > > > > > > > > > > > > > > > > > ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? @ @ @ @ @
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E F F F F F F F F F F F F F F F F F G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G H H H H H H H H H H H H H H H H H H H H H H H I I I I I I I I I I I I I I J J J J J J J J J J J J J J J J J J J J J J K K K K K K K K K K K K K K K K K K L L L L L L L L L L L L L L L L L L M M M M M M M M M M M M M M M M M M M M M M M M M M N N N N N N N N N N N N N N O O O O O O O O O O O O O O O O P P P P P P P P P P P P P P P P P P P P P P P P Q Q Q Q Q Q Q Q Q Q Q Q Q Q Q Q Q Q Q Q Q Q Q R R R R R
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X X X X X X X Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Z Z Z Z Z Z Z Z Z Z Z Z Z Z Z Z Z Z Z Z Z Z Z Z [ [ [ [ [ [ [ [ [ [ [ [ [ [ \ \ \ \ \ \ \ \ \ \ \ \ \ \ ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` a a a a a a a a a a a a a a a a a a a a a a a a a a a a a a a a a a a a b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f f g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g g h h h h h h h h h h h h h h h h h i i i i i i i i i i i i i i i i i i i i i i i i i i i i j j j j j j j j j j j j j j j j j j j j j j j j j j k k k k k k k k k k k k k k k k k k k k k k k k k k l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q r r r r r r r r r r r r r r r r r r r r r r r r r r r r r r s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s s t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t t u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u u v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w w x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x x y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y y z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { { | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred";? bW (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; g amazonka-comprehend Describes an error that occurred while processing a document in a batch.
The operation returns on BatchItemError3 object for each document that
contained an error.See: smart constructor. amazonka-comprehend$The numeric error code of the error. amazonka-comprehend A text description of the error. amazonka-comprehend7The zero-based index of the document in the input list. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , ' - The numeric error code of the error. , # - A text description of the error. , : - The zero-based index of the document in the input list. amazonka-comprehend$The numeric error code of the error. amazonka-comprehend A text description of the error. amazonka-comprehend7The zero-based index of the document in the input list. (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred";? he (,+)*(,+)*,+ (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; qp
@ amazonka-comprehendThe bounding box around the detected page or around an element on a
document page. The left (x-coordinate) and top (y-coordinate) are
coordinates that represent the top and left sides of the bounding box.
Note that the upper-left corner of the image is the origin (0,0).!For additional information, see
https://docs.aws.amazon.com/textract/latest/dg/API_BoundingBox.html BoundingBox'
in the Amazon Textract API reference.See: F smart constructor.B amazonka-comprehend The height of the bounding box as a ratio of the overall document page
height.C amazonka-comprehend The left coordinate of the bounding box as a ratio of overall document
page width.D amazonka-comprehend The top coordinate of the bounding box as a ratio of overall document
page height.E amazonka-comprehend The width of the bounding box as a ratio of the overall document page
width.F amazonka-comprehendCreate a value of @" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: B, G - The height of the bounding box as a ratio of the overall document page
height. C, H - The left coordinate of the bounding box as a ratio of overall document
page width. D, I - The top coordinate of the bounding box as a ratio of overall document
page height. E, J - The width of the bounding box as a ratio of the overall document page
width.G amazonka-comprehend The height of the bounding box as a ratio of the overall document page
height.H amazonka-comprehend The left coordinate of the bounding box as a ratio of overall document
page width.I amazonka-comprehend The top coordinate of the bounding box as a ratio of overall document
page height.J amazonka-comprehend The width of the bounding box as a ratio of the overall document page
width. @DEBCAFGHIJ @DEBCAFGHIJ (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; vR amazonka-comprehend&Nested block contained within a block.See: W smart constructor.T amazonka-comprehend?Offset of the start of the child block within its parent block.U amazonka-comprehend&Unique identifier for the child block.V amazonka-comprehend=Offset of the end of the child block within its parent block.W amazonka-comprehendCreate a value of R" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: T, X - Offset of the start of the child block within its parent block. U, Y) - Unique identifier for the child block. V, Z - Offset of the end of the child block within its parent block.X amazonka-comprehend?Offset of the start of the child block within its parent block.Y amazonka-comprehend&Unique identifier for the child block.Z amazonka-comprehend=Offset of the end of the child block within its parent block. RVUTSWXYZ RVUTSWXYZ (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; |
b amazonka-comprehendA reference to a block.See: h smart constructor.d amazonka-comprehend9Offset of the start of the block within its parent block.e amazonka-comprehend Unique identifier for the block.f amazonka-comprehend'List of child blocks within this block.g amazonka-comprehend7Offset of the end of the block within its parent block.h amazonka-comprehendCreate a value of b" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: b, i< - Offset of the start of the block within its parent block. e, j# - Unique identifier for the block. f, k* - List of child blocks within this block. b, l: - Offset of the end of the block within its parent block.i amazonka-comprehend9Offset of the start of the block within its parent block.j amazonka-comprehend Unique identifier for the block.k amazonka-comprehend'List of child blocks within this block.l amazonka-comprehend7Offset of the end of the block within its parent block. bfegdchijkl bfegdchijkl (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; t amazonka-comprehend Describes the result metrics for the test data associated with an
documentation classifier.See: ~ smart constructor.v amazonka-comprehendThe fraction of the labels that were correct recognized. It is computed
by dividing the number of labels in the test documents that were
correctly recognized by the total number of labels in the test
documents.w amazonka-comprehend A measure of how accurate the classifier results are for the test data.
It is derived from the Precision and Recall
values. The F1Score is
the harmonic average of the two scores. The highest score is 1, and the
worst score is 0.x amazonka-comprehendIndicates the fraction of labels that are incorrectly predicted. Also
seen as the fraction of wrong labels compared to the total number of
labels. Scores closer to zero are better.y amazonka-comprehend A measure of how accurate the classifier results are for the test data.
It is a combination of the Micro Precision and Micro Recall values.
The
Micro F1Score is the harmonic mean of the two scores. The highest
score is 1, and the worst score is 0.z amazonka-comprehendA measure of the usefulness of the recognizer results in the test data.
High precision means that the recognizer returned substantially more
relevant results than irrelevant ones. Unlike the Precision metric which
comes from averaging the precision of all available labels, this is
based on the overall score of all precision scores added together.{ amazonka-comprehendA measure of how complete the classifier results are for the test data.
High recall means that the classifier returned most of the relevant
results. Specifically, this indicates how many of the correct categories
in the text that the model can predict. It is a percentage of correct
categories in the text that can found. Instead of averaging the recall
scores of all labels (as with Recall), micro Recall is based on the
overall score of all recall scores added together.| amazonka-comprehendA measure of the usefulness of the classifier results in the test data.
High precision means that the classifier returned substantially more
relevant results than irrelevant ones.} amazonka-comprehendA measure of how complete the classifier results are for the test data.
High recall means that the classifier returned most of the relevant
results.~ amazonka-comprehendCreate a value of t" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: v, - The fraction of the labels that were correct recognized. It is computed
by dividing the number of labels in the test documents that were
correctly recognized by the total number of labels in the test
documents. w, - A measure of how accurate the classifier results are for the test data.
It is derived from the Precision and Recall
values. The F1Score is
the harmonic average of the two scores. The highest score is 1, and the
worst score is 0. x, - Indicates the fraction of labels that are incorrectly predicted. Also
seen as the fraction of wrong labels compared to the total number of
labels. Scores closer to zero are better. y, - A measure of how accurate the classifier results are for the test data.
It is a combination of the Micro Precision and Micro Recall values.
The
Micro F1Score is the harmonic mean of the two scores. The highest
score is 1, and the worst score is 0. z, - A measure of the usefulness of the recognizer results in the test data.
High precision means that the recognizer returned substantially more
relevant results than irrelevant ones. Unlike the Precision metric which
comes from averaging the precision of all available labels, this is
based on the overall score of all precision scores added together. {, - A measure of how complete the classifier results are for the test data.
High recall means that the classifier returned most of the relevant
results. Specifically, this indicates how many of the correct categories
in the text that the model can predict. It is a percentage of correct
categories in the text that can found. Instead of averaging the recall
scores of all labels (as with Recall), micro Recall is based on the
overall score of all recall scores added together. |, - A measure of the usefulness of the classifier results in the test data.
High precision means that the classifier returned substantially more
relevant results than irrelevant ones. }, - A measure of how complete the classifier results are for the test data.
High recall means that the classifier returned most of the relevant
results. amazonka-comprehendThe fraction of the labels that were correct recognized. It is computed
by dividing the number of labels in the test documents that were
correctly recognized by the total number of labels in the test
documents. amazonka-comprehend A measure of how accurate the classifier results are for the test data.
It is derived from the Precision and Recall
values. The F1Score is
the harmonic average of the two scores. The highest score is 1, and the
worst score is 0. amazonka-comprehendIndicates the fraction of labels that are incorrectly predicted. Also
seen as the fraction of wrong labels compared to the total number of
labels. Scores closer to zero are better. amazonka-comprehend A measure of how accurate the classifier results are for the test data.
It is a combination of the Micro Precision and Micro Recall values.
The
Micro F1Score is the harmonic mean of the two scores. The highest
score is 1, and the worst score is 0. amazonka-comprehendA measure of the usefulness of the recognizer results in the test data.
High precision means that the recognizer returned substantially more
relevant results than irrelevant ones. Unlike the Precision metric which
comes from averaging the precision of all available labels, this is
based on the overall score of all precision scores added together. amazonka-comprehendA measure of how complete the classifier results are for the test data.
High recall means that the classifier returned most of the relevant
results. Specifically, this indicates how many of the correct categories
in the text that the model can predict. It is a percentage of correct
categories in the text that can found. Instead of averaging the recall
scores of all labels (as with Recall), micro Recall is based on the
overall score of all recall scores added together. amazonka-comprehendA measure of the usefulness of the classifier results in the test data.
High precision means that the classifier returned substantially more
relevant results than irrelevant ones. amazonka-comprehendA measure of how complete the classifier results are for the test data.
High recall means that the classifier returned most of the relevant
results. t}|{zyxwvu~t}|{zyxwvu~ (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; 3
amazonka-comprehend1Provides information about a document classifier.See: smart constructor. amazonka-comprehend Describes the result metrics for the test data associated with an
documentation classifier. amazonka-comprehend'The number of labels in the input data. amazonka-comprehendThe number of documents in the input data that were used to test the
classifier. Typically this is 10 to 20 percent of the input documents,
up to 10,000 documents. amazonka-comprehendThe number of documents in the input data that were used to train the
classifier. Typically this is 80 to 90 percent of the input documents. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - Describes the result metrics for the test data associated with an
documentation classifier. , * - The number of labels in the input data. , - The number of documents in the input data that were used to test the
classifier. Typically this is 10 to 20 percent of the input documents,
up to 10,000 documents. , - The number of documents in the input data that were used to train the
classifier. Typically this is 80 to 90 percent of the input documents. amazonka-comprehend Describes the result metrics for the test data associated with an
documentation classifier. amazonka-comprehend'The number of labels in the input data. amazonka-comprehendThe number of documents in the input data that were used to test the
classifier. Typically this is 10 to 20 percent of the input documents,
up to 10,000 documents. amazonka-comprehendThe number of documents in the input data that were used to train the
classifier. Typically this is 80 to 90 percent of the input documents. (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; amazonka-comprehend Specifies the class that categorizes the document being analyzedSee: smart constructor. amazonka-comprehendThe name of the class. amazonka-comprehend Page number in the input document. This field is present in the response
only if your request includes the Byte parameter. amazonka-comprehend The confidence score that Amazon Comprehend has this class correctly
attributed. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The name of the class. , - Page number in the input document. This field is present in the response
only if your request includes the Byte parameter. , - The confidence score that Amazon Comprehend has this class correctly
attributed. amazonka-comprehendThe name of the class. amazonka-comprehend Page number in the input document. This field is present in the response
only if your request includes the Byte parameter. amazonka-comprehend The confidence score that Amazon Comprehend has this class correctly
attributed.
(c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred";? h (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred";? $ (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; amazonka-comprehend Provides output results configuration parameters for custom classifier
jobs.See: smart constructor. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt the output results from an analysis job. The KmsKeyId
can be one of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"KMS Key Alias: "alias/ExampleAlias" ARN of a KMS Key Alias:
7"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias" amazonka-comprehendWhen you use the OutputDataConfig object while creating a custom
classifier, you specify the Amazon S3 location where you want to write
the confusion matrix. The URI must be in the same region as the API
endpoint that you are calling. The location is used as the prefix for
the actual location of this output file. When the custom classifier job is finished, the service creates the
output file in a directory specific to the job. The S3Uri9 field
contains the location of the output file, called
output.tar.gz . It is
a compressed archive that contains the confusion matrix. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt the output results from an analysis job. The KmsKeyId
can be one of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"KMS Key Alias: "alias/ExampleAlias" ARN of a KMS Key Alias:
7"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias" , - When you use the OutputDataConfig object while creating a custom
classifier, you specify the Amazon S3 location where you want to write
the confusion matrix. The URI must be in the same region as the API
endpoint that you are calling. The location is used as the prefix for
the actual location of this output file. When the custom classifier job is finished, the service creates the
output file in a directory specific to the job. The S3Uri9 field
contains the location of the output file, called
output.tar.gz . It is
a compressed archive that contains the confusion matrix. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt the output results from an analysis job. The KmsKeyId
can be one of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"KMS Key Alias: "alias/ExampleAlias" ARN of a KMS Key Alias:
7"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias" amazonka-comprehendWhen you use the OutputDataConfig object while creating a custom
classifier, you specify the Amazon S3 location where you want to write
the confusion matrix. The URI must be in the same region as the API
endpoint that you are calling. The location is used as the prefix for
the actual location of this output file. When the custom classifier job is finished, the service creates the
output file in a directory specific to the job. The S3Uri9 field
contains the location of the output file, called
output.tar.gz . It is
a compressed archive that contains the confusion matrix.
(c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; amazonka-comprehend Specifies one of the label or labels that categorize the document being
analyzed.See: smart constructor. amazonka-comprehendThe name of the label. amazonka-comprehend Page number where the label occurs. This field is present in the
response only if your request includes the Byte parameter. amazonka-comprehend The confidence score that Amazon Comprehend has this label correctly
attributed. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The name of the label. , - Page number where the label occurs. This field is present in the
response only if your request includes the Byte parameter. , - The confidence score that Amazon Comprehend has this label correctly
attributed. amazonka-comprehendThe name of the label. amazonka-comprehend Page number where the label occurs. This field is present in the
response only if your request includes the Byte parameter. amazonka-comprehend The confidence score that Amazon Comprehend has this label correctly
attributed. (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred";? ¼ (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred";? $ amazonka-comprehend Specifies the type of Amazon Textract features to apply. If you chose
TEXTRACT_ANALYZE_DOCUMENT as the read action, you must specify one or
both of the following values:TABLES - Returns additional information about any tables that are
detected in the input document.FORMS - Returns additional information about any forms that are
detected in the input document. (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred";? (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; ' amazonka-comprehend Provides configuration parameters to override the default actions for
extracting text from PDF documents and image files. By default, Amazon Comprehend performs the following actions to extract
text from files, based on the input file type:
Word files. - Amazon Comprehend parser extracts the text.Digital PDF files. - Amazon Comprehend parser extracts the text.!Image files and scanned PDF files3 - Amazon Comprehend uses the
Amazon Textract DetectDocumentText API to extract the text.DocumentReaderConfig2 does not apply to plain text files or Word files.For image files and PDF documents, you can override these default
actions using the fields listed below. For more information, see
https://docs.aws.amazon.com/comprehend/latest/dg/detecting-cer.html#detecting-cer-pdf Setting text extraction options.See: smart constructor. amazonka-comprehend Determines the text extraction actions for PDF files. Enter one of the
following values:SERVICE_DEFAULT - use the Amazon Comprehend service defaults for
PDF files.FORCE_DOCUMENT_READ_ACTION - Amazon Comprehend uses the Textract
API specified by DocumentReadAction for all PDF files, including
digital PDF files. amazonka-comprehend Specifies the type of Amazon Textract features to apply. If you chose
TEXTRACT_ANALYZE_DOCUMENT as the read action, you must specify one or
both of the following values:TABLES - Returns information about any tables that are detected in
the input document.FORMS - Returns information and the data from any forms that are
detected in the input document. amazonka-comprehendThis field defines the Amazon Textract API operation that Amazon
Comprehend uses to extract text from PDF files and image files. Enter
one of the following values: TEXTRACT_DETECT_DOCUMENT_TEXT/ - The Amazon Comprehend service uses
the DetectDocumentText API operation.TEXTRACT_ANALYZE_DOCUMENT/ - The Amazon Comprehend service uses the
AnalyzeDocument API operation. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - Determines the text extraction actions for PDF files. Enter one of the
following values:SERVICE_DEFAULT - use the Amazon Comprehend service defaults for
PDF files.FORCE_DOCUMENT_READ_ACTION - Amazon Comprehend uses the Textract
API specified by DocumentReadAction for all PDF files, including
digital PDF files. , - Specifies the type of Amazon Textract features to apply. If you chose
TEXTRACT_ANALYZE_DOCUMENT as the read action, you must specify one or
both of the following values:TABLES - Returns information about any tables that are detected in
the input document.FORMS - Returns information and the data from any forms that are
detected in the input document. , - This field defines the Amazon Textract API operation that Amazon
Comprehend uses to extract text from PDF files and image files. Enter
one of the following values: TEXTRACT_DETECT_DOCUMENT_TEXT/ - The Amazon Comprehend service uses
the DetectDocumentText API operation.TEXTRACT_ANALYZE_DOCUMENT/ - The Amazon Comprehend service uses the
AnalyzeDocument API operation. amazonka-comprehend Determines the text extraction actions for PDF files. Enter one of the
following values:SERVICE_DEFAULT - use the Amazon Comprehend service defaults for
PDF files.FORCE_DOCUMENT_READ_ACTION - Amazon Comprehend uses the Textract
API specified by DocumentReadAction for all PDF files, including
digital PDF files. amazonka-comprehend Specifies the type of Amazon Textract features to apply. If you chose
TEXTRACT_ANALYZE_DOCUMENT as the read action, you must specify one or
both of the following values:TABLES - Returns information about any tables that are detected in
the input document.FORMS - Returns information and the data from any forms that are
detected in the input document. amazonka-comprehendThis field defines the Amazon Textract API operation that Amazon
Comprehend uses to extract text from PDF files and image files. Enter
one of the following values: TEXTRACT_DETECT_DOCUMENT_TEXT/ - The Amazon Comprehend service uses
the DetectDocumentText API operation.TEXTRACT_ANALYZE_DOCUMENT/ - The Amazon Comprehend service uses the
AnalyzeDocument API operation. amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred";?
(c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; ޒ amazonka-comprehend,Document type for each page in the document.See: smart constructor. amazonka-comprehend Page number. amazonka-comprehendDocument type. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - Page number. , - Document type. amazonka-comprehend Page number. amazonka-comprehendDocument type. (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; amazonka-comprehendReturns the code for the dominant language in the input text and the
level of confidence that Amazon Comprehend has in the accuracy of the
detection.See: smart constructor. amazonka-comprehend The RFC 5646 language code for the dominant language. For more
information about RFC 5646, see
#https://tools.ietf.org/html/rfc5646 Tags for Identifying Languages on
the
IETF Tools
web site. amazonka-comprehend The level of confidence that Amazon Comprehend has in the accuracy of
the detection. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The RFC 5646 language code for the dominant language. For more
information about RFC 5646, see
#https://tools.ietf.org/html/rfc5646 Tags for Identifying Languages on
the
IETF Tools
web site. , - The level of confidence that Amazon Comprehend has in the accuracy of
the detection. amazonka-comprehend The RFC 5646 language code for the dominant language. For more
information about RFC 5646, see
#https://tools.ietf.org/html/rfc5646 Tags for Identifying Languages on
the
IETF Tools
web site. amazonka-comprehend The level of confidence that Amazon Comprehend has in the accuracy of
the detection. (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; amazonka-comprehendThe result of calling the operation. The operation returns one object
for each document that is successfully processed by the operation.See: smart constructor. amazonka-comprehend7The zero-based index of the document in the input list. amazonka-comprehend One or more DominantLanguage objects describing the dominant languages
in the document. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , : - The zero-based index of the document in the input list. , - One or more DominantLanguage objects describing the dominant languages
in the document. amazonka-comprehend7The zero-based index of the document in the input list. amazonka-comprehend One or more DominantLanguage objects describing the dominant languages
in the document. (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred";?
(c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; ( amazonka-comprehend Specifies information about the specified endpoint. For information
about endpoints, see
https://docs.aws.amazon.com/comprehend/latest/dg/manage-endpoints.htmlManaging endpoints.See: smart constructor. amazonka-comprehend+The creation date and time of the endpoint. amazonka-comprehend The number of inference units currently used by the model using this
endpoint. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS identity and Access Management
(IAM) role that grants Amazon Comprehend read access to trained custom
models encrypted with a customer managed key (ModelKmsKeyId). amazonka-comprehend Data access role ARN to use in case the new model is encrypted with a
customer KMS key. amazonka-comprehendThe desired number of inference units to be used by the model using this
endpoint. Each inference unit represents of a throughput of 100
characters per second. amazonka-comprehendARN of the new model to use for updating an existing endpoint. This ARN
is going to be different from the model ARN when the update is in
progress amazonka-comprehend1The Amazon Resource Number (ARN) of the endpoint. amazonka-comprehend6The date and time that the endpoint was last modified. amazonka-comprehend+Specifies a reason for failure in cases of Failed status. amazonka-comprehend The Amazon Resource Number (ARN) of the model to which the endpoint is
attached. amazonka-comprehendSpecifies the status of the endpoint. Because the endpoint updates and
creation are asynchronous, so customers will need to wait for the
endpoint to be Ready) status before making inference requests. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , . - The creation date and time of the endpoint. , - The number of inference units currently used by the model using this
endpoint. , - The Amazon Resource Name (ARN) of the AWS identity and Access Management
(IAM) role that grants Amazon Comprehend read access to trained custom
models encrypted with a customer managed key (ModelKmsKeyId). , - Data access role ARN to use in case the new model is encrypted with a
customer KMS key. , - The desired number of inference units to be used by the model using this
endpoint. Each inference unit represents of a throughput of 100
characters per second. , - ARN of the new model to use for updating an existing endpoint. This ARN
is going to be different from the model ARN when the update is in
progress , 4 - The Amazon Resource Number (ARN) of the endpoint. , 9 - The date and time that the endpoint was last modified. , . - Specifies a reason for failure in cases of Failed status. , - The Amazon Resource Number (ARN) of the model to which the endpoint is
attached. , - Specifies the status of the endpoint. Because the endpoint updates and
creation are asynchronous, so customers will need to wait for the
endpoint to be Ready) status before making inference requests. amazonka-comprehend+The creation date and time of the endpoint. amazonka-comprehend The number of inference units currently used by the model using this
endpoint. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS identity and Access Management
(IAM) role that grants Amazon Comprehend read access to trained custom
models encrypted with a customer managed key (ModelKmsKeyId). amazonka-comprehend Data access role ARN to use in case the new model is encrypted with a
customer KMS key. amazonka-comprehendThe desired number of inference units to be used by the model using this
endpoint. Each inference unit represents of a throughput of 100
characters per second. amazonka-comprehendARN of the new model to use for updating an existing endpoint. This ARN
is going to be different from the model ARN when the update is in
progress amazonka-comprehend1The Amazon Resource Number (ARN) of the endpoint. amazonka-comprehend6The date and time that the endpoint was last modified. amazonka-comprehend+Specifies a reason for failure in cases of Failed status. amazonka-comprehend The Amazon Resource Number (ARN) of the model to which the endpoint is
attached. amazonka-comprehendSpecifies the status of the endpoint. Because the endpoint updates and
creation are asynchronous, so customers will need to wait for the
endpoint to be Ready) status before making inference requests. (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&';
amazonka-comprehendThe filter used to determine which endpoints are returned. You can
filter jobs on their name, model, status, or the date and time that they
were created. You can only set one filter at a time.See: smart constructor. amazonka-comprehend Specifies a date after which the returned endpoint or endpoints were
created. amazonka-comprehend Specifies a date before which the returned endpoint or endpoints were
created. amazonka-comprehend The Amazon Resource Number (ARN) of the model to which the endpoint is
attached. amazonka-comprehend Specifies the status of the endpoint being returned. Possible values
are: Creating, Ready, Updating, Deleting, Failed. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - Specifies a date after which the returned endpoint or endpoints were
created. , - Specifies a date before which the returned endpoint or endpoints were
created. , - The Amazon Resource Number (ARN) of the model to which the endpoint is
attached. , - Specifies the status of the endpoint being returned. Possible values
are: Creating, Ready, Updating, Deleting, Failed. amazonka-comprehend Specifies a date after which the returned endpoint or endpoints were
created. amazonka-comprehend Specifies a date before which the returned endpoint or endpoints were
created. amazonka-comprehend The Amazon Resource Number (ARN) of the model to which the endpoint is
attached. amazonka-comprehend Specifies the status of the endpoint being returned. Possible values
are: Creating, Ready, Updating, Deleting, Failed. (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; amazonka-comprehend>Describes the annotations associated with a entity recognizer.See: smart constructor. amazonka-comprehendSpecifies the Amazon S3 location where the test annotations for an
entity recognizer are located. The URI must be in the same region as the
API endpoint that you are calling. amazonka-comprehendSpecifies the Amazon S3 location where the annotations for an entity
recognizer are located. The URI must be in the same region as the API
endpoint that you are calling. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - Specifies the Amazon S3 location where the test annotations for an
entity recognizer are located. The URI must be in the same region as the
API endpoint that you are calling. , - Specifies the Amazon S3 location where the annotations for an entity
recognizer are located. The URI must be in the same region as the API
endpoint that you are calling. amazonka-comprehendSpecifies the Amazon S3 location where the test annotations for an
entity recognizer are located. The URI must be in the same region as the
API endpoint that you are calling. amazonka-comprehendSpecifies the Amazon S3 location where the annotations for an entity
recognizer are located. The URI must be in the same region as the API
endpoint that you are calling. amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred";? h (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; > amazonka-comprehend Describes the entity recognizer submitted with an entity recognizer.See: smart constructor. amazonka-comprehendSpecifies the Amazon S3 location where the entity list is located. The
URI must be in the same region as the API endpoint that you are calling. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - Specifies the Amazon S3 location where the entity list is located. The
URI must be in the same region as the API endpoint that you are calling. amazonka-comprehendSpecifies the Amazon S3 location where the entity list is located. The
URI must be in the same region as the API endpoint that you are calling. amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; "? amazonka-comprehend Detailed information about the accuracy of an entity recognizer.See: smart constructor. amazonka-comprehend A measure of how accurate the recognizer results are for the test data.
It is derived from the Precision and Recall
values. The F1Score is
the harmonic average of the two scores. For plain text entity recognizer
models, the range is 0 to 100, where 100 is the best score. For
PDF/Word entity recognizer models, the range is 0 to 1, where 1 is the
best score. amazonka-comprehendA measure of the usefulness of the recognizer results in the test data.
High precision means that the recognizer returned substantially more
relevant results than irrelevant ones. amazonka-comprehendA measure of how complete the recognizer results are for the test data.
High recall means that the recognizer returned most of the relevant
results. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - A measure of how accurate the recognizer results are for the test data.
It is derived from the Precision and Recall
values. The F1Score is
the harmonic average of the two scores. For plain text entity recognizer
models, the range is 0 to 100, where 100 is the best score. For
PDF/Word entity recognizer models, the range is 0 to 1, where 1 is the
best score. , - A measure of the usefulness of the recognizer results in the test data.
High precision means that the recognizer returned substantially more
relevant results than irrelevant ones. , - A measure of how complete the recognizer results are for the test data.
High recall means that the recognizer returned most of the relevant
results. amazonka-comprehend A measure of how accurate the recognizer results are for the test data.
It is derived from the Precision and Recall
values. The F1Score is
the harmonic average of the two scores. For plain text entity recognizer
models, the range is 0 to 100, where 100 is the best score. For
PDF/Word entity recognizer models, the range is 0 to 1, where 1 is the
best score. amazonka-comprehendA measure of the usefulness of the recognizer results in the test data.
High precision means that the recognizer returned substantially more
relevant results than irrelevant ones. amazonka-comprehendA measure of how complete the recognizer results are for the test data.
High recall means that the recognizer returned most of the relevant
results. (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred";? # (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; 0F amazonka-comprehend%Provides information about an entity.See: smart constructor. amazonka-comprehend The zero-based offset from the beginning of the source text to the first
character in the entity.'This field is empty for non-text input. amazonka-comprehend A reference to each block for this entity. This field is empty for
plain-text input. amazonka-comprehend The zero-based offset from the beginning of the source text to the last
character in the entity.'This field is empty for non-text input. amazonka-comprehend The level of confidence that Amazon Comprehend has in the accuracy of
the detection. amazonka-comprehendThe text of the entity. amazonka-comprehendThe entity type. For entity detection using the built-in model, this
field contains one of the standard entity types listed below.For custom entity detection, this field contains one of the entity types
that you specified when you trained your custom model. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The zero-based offset from the beginning of the source text to the first
character in the entity.'This field is empty for non-text input. , - A reference to each block for this entity. This field is empty for
plain-text input. , - The zero-based offset from the beginning of the source text to the last
character in the entity.'This field is empty for non-text input. , - The level of confidence that Amazon Comprehend has in the accuracy of
the detection. , - The text of the entity. , - The entity type. For entity detection using the built-in model, this
field contains one of the standard entity types listed below.For custom entity detection, this field contains one of the entity types
that you specified when you trained your custom model. amazonka-comprehend The zero-based offset from the beginning of the source text to the first
character in the entity.'This field is empty for non-text input. amazonka-comprehend A reference to each block for this entity. This field is empty for
plain-text input. amazonka-comprehend The zero-based offset from the beginning of the source text to the last
character in the entity.'This field is empty for non-text input. amazonka-comprehend The level of confidence that Amazon Comprehend has in the accuracy of
the detection. amazonka-comprehendThe text of the entity. amazonka-comprehendThe entity type. For entity detection using the built-in model, this
field contains one of the standard entity types listed below.For custom entity detection, this field contains one of the entity types
that you specified when you trained your custom model. (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; 5 amazonka-comprehendThe result of calling the operation. The operation returns one object
for each document that is successfully processed by the operation.See: smart constructor. amazonka-comprehend One or more Entity objects, one for each entity detected in the
document. amazonka-comprehend7The zero-based index of the document in the input list. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - One or more Entity objects, one for each entity detected in the
document. , : - The zero-based index of the document in the input list. amazonka-comprehend One or more Entity objects, one for each entity detected in the
document. amazonka-comprehend7The zero-based index of the document in the input list. (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; A amazonka-comprehend Detailed information about the accuracy of an entity recognizer for a
specific entity type.See: smart constructor. amazonka-comprehend A measure of how accurate the recognizer results are for a specific
entity type in the test data. It is derived from the Precision and
Recall
values. The F1Score is the harmonic average of the two
scores. The highest score is 1, and the worst score is 0. amazonka-comprehendA measure of the usefulness of the recognizer results for a specific
entity type in the test data. High precision means that the recognizer
returned substantially more relevant results than irrelevant ones. amazonka-comprehendA measure of how complete the recognizer results are for a specific
entity type in the test data. High recall means that the recognizer
returned most of the relevant results. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - A measure of how accurate the recognizer results are for a specific
entity type in the test data. It is derived from the Precision and
Recall
values. The F1Score is the harmonic average of the two
scores. The highest score is 1, and the worst score is 0. , - A measure of the usefulness of the recognizer results for a specific
entity type in the test data. High precision means that the recognizer
returned substantially more relevant results than irrelevant ones. , - A measure of how complete the recognizer results are for a specific
entity type in the test data. High recall means that the recognizer
returned most of the relevant results. amazonka-comprehend A measure of how accurate the recognizer results are for a specific
entity type in the test data. It is derived from the Precision and
Recall
values. The F1Score is the harmonic average of the two
scores. The highest score is 1, and the worst score is 0. amazonka-comprehendA measure of the usefulness of the recognizer results for a specific
entity type in the test data. High precision means that the recognizer
returned substantially more relevant results than irrelevant ones. amazonka-comprehendA measure of how complete the recognizer results are for a specific
entity type in the test data. High recall means that the recognizer
returned most of the relevant results. ! (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; H amazonka-comprehend Individual item from the list of entity types in the metadata of an
entity recognizer.See: smart constructor. amazonka-comprehend Detailed information about the accuracy of the entity recognizer for a
specific item on the list of entity types. amazonka-comprehend Indicates the number of times the given entity type was seen in the
training data. amazonka-comprehend Type of entity from the list of entity types in the metadata of an
entity recognizer. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - Detailed information about the accuracy of the entity recognizer for a
specific item on the list of entity types. , - Indicates the number of times the given entity type was seen in the
training data. , - Type of entity from the list of entity types in the metadata of an
entity recognizer. amazonka-comprehend Detailed information about the accuracy of the entity recognizer for a
specific item on the list of entity types. amazonka-comprehend Indicates the number of times the given entity type was seen in the
training data. amazonka-comprehend Type of entity from the list of entity types in the metadata of an
entity recognizer. " (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; P
amazonka-comprehend0Detailed information about an entity recognizer.See: smart constructor. amazonka-comprehend7Entity types from the metadata of an entity recognizer. amazonka-comprehend Detailed information about the accuracy of an entity recognizer. amazonka-comprehendThe number of documents in the input data that were used to test the
entity recognizer. Typically this is 10 to 20 percent of the input
documents. amazonka-comprehendThe number of documents in the input data that were used to train the
entity recognizer. Typically this is 80 to 90 percent of the input
documents. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , : - Entity types from the metadata of an entity recognizer. , - Detailed information about the accuracy of an entity recognizer. , - The number of documents in the input data that were used to test the
entity recognizer. Typically this is 10 to 20 percent of the input
documents. , - The number of documents in the input data that were used to train the
entity recognizer. Typically this is 80 to 90 percent of the input
documents. amazonka-comprehend7Entity types from the metadata of an entity recognizer. amazonka-comprehend Detailed information about the accuracy of an entity recognizer. amazonka-comprehendThe number of documents in the input data that were used to test the
entity recognizer. Typically this is 10 to 20 percent of the input
documents. amazonka-comprehendThe number of documents in the input data that were used to train the
entity recognizer. Typically this is 80 to 90 percent of the input
documents. # (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; X1 amazonka-comprehend An entity type within a labeled training dataset that Amazon Comprehend
uses to train a custom entity recognizer.See: smart constructor. amazonka-comprehend An entity type within a labeled training dataset that Amazon Comprehend
uses to train a custom entity recognizer.Entity types must not contain the following invalid characters: \n
(line break), \\n (escaped line break, \r (carriage return), \\r
(escaped carriage return), \t (tab), \\t (escaped tab), space, and ,
(comma). amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - An entity type within a labeled training dataset that Amazon Comprehend
uses to train a custom entity recognizer.Entity types must not contain the following invalid characters: \n
(line break), \\n (escaped line break, \r (carriage return), \\r
(escaped carriage return), \t (tab), \\t (escaped tab), space, and ,
(comma). amazonka-comprehend An entity type within a labeled training dataset that Amazon Comprehend
uses to train a custom entity recognizer.Entity types must not contain the following invalid characters: \n
(line break), \\n (escaped line break, \r (carriage return), \\r
(escaped carriage return), \t (tab), \\t (escaped tab), space, and ,
(comma). amazonka-comprehend $ (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; \! amazonka-comprehend;Array of the number of characters extracted from each page.See: smart constructor. amazonka-comprehend.Number of characters extracted from each page. amazonka-comprehend Page number. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , 1 - Number of characters extracted from each page. , - Page number. amazonka-comprehend.Number of characters extracted from each page. amazonka-comprehend Page number. % (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; ` amazonka-comprehend Information about the document, discovered during text extraction.See: smart constructor. amazonka-comprehend List of pages in the document, with the number of characters extracted
from each page. amazonka-comprehend Number of pages in the document. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - List of pages in the document, with the number of characters extracted
from each page. , # - Number of pages in the document. amazonka-comprehend List of pages in the document, with the number of characters extracted
from each page. amazonka-comprehend Number of pages in the document. & (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred";? a ' (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; qK amazonka-comprehendThe input properties for an inference job. The document reader config
field applies only to non-text inputs for custom analysis.See: smart constructor. amazonka-comprehend Provides configuration parameters to override the default actions for
extracting text from PDF documents and image files. amazonka-comprehendSee: smart constructor. amazonka-comprehend1The name that you assigned the entity recognizer. amazonka-comprehend#The status of an entity recognizer. amazonka-comprehendFilters the list of entities based on the time that the list was
submitted for processing. Returns only jobs submitted after the
specified time. Jobs are returned in ascending order, oldest to newest. amazonka-comprehendFilters the list of entities based on the time that the list was
submitted for processing. Returns only jobs submitted before the
specified time. Jobs are returned in descending order, newest to oldest. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , 4 - The name that you assigned the entity recognizer. , & - The status of an entity recognizer. , - Filters the list of entities based on the time that the list was
submitted for processing. Returns only jobs submitted after the
specified time. Jobs are returned in ascending order, oldest to newest. , - Filters the list of entities based on the time that the list was
submitted for processing. Returns only jobs submitted before the
specified time. Jobs are returned in descending order, newest to oldest. amazonka-comprehend1The name that you assigned the entity recognizer. amazonka-comprehend#The status of an entity recognizer. amazonka-comprehendFilters the list of entities based on the time that the list was
submitted for processing. Returns only jobs submitted after the
specified time. Jobs are returned in ascending order, oldest to newest. amazonka-comprehendFilters the list of entities based on the time that the list was
submitted for processing. Returns only jobs submitted before the
specified time. Jobs are returned in descending order, newest to oldest. 5 (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; V amazonka-comprehend Describes information about a document classifier and its versions.See: smart constructor. amazonka-comprehend3The name that you assigned the document classifier. amazonka-comprehend The time that the latest document classifier version was submitted for
processing. amazonka-comprehend The version name you assigned to the latest document classifier version. amazonka-comprehend>Provides the status of the latest document classifier version. amazonka-comprehend#The number of versions you created. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , 6 - The name that you assigned the document classifier. , - The time that the latest document classifier version was submitted for
processing. , - The version name you assigned to the latest document classifier version. , - Provides the status of the latest document classifier version. , & - The number of versions you created. amazonka-comprehend3The name that you assigned the document classifier. amazonka-comprehend The time that the latest document classifier version was submitted for
processing. amazonka-comprehend The version name you assigned to the latest document classifier version. amazonka-comprehend>Provides the status of the latest document classifier version. amazonka-comprehend#The number of versions you created.
6 (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; E
amazonka-comprehendProvides information for filtering a list of document classifiers. You
can only specify one filtering parameter in a request. For more
information, see the operation.See: smart constructor. amazonka-comprehend5The name that you assigned to the document classifier amazonka-comprehend0Filters the list of classifiers based on status. amazonka-comprehendFilters the list of classifiers based on the time that the classifier
was submitted for processing. Returns only classifiers submitted after
the specified time. Classifiers are returned in descending order, newest
to oldest. amazonka-comprehendFilters the list of classifiers based on the time that the classifier
was submitted for processing. Returns only classifiers submitted before
the specified time. Classifiers are returned in ascending order, oldest
to newest. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , 8 - The name that you assigned to the document classifier , 3 - Filters the list of classifiers based on status. , - Filters the list of classifiers based on the time that the classifier
was submitted for processing. Returns only classifiers submitted after
the specified time. Classifiers are returned in descending order, newest
to oldest. , - Filters the list of classifiers based on the time that the classifier
was submitted for processing. Returns only classifiers submitted before
the specified time. Classifiers are returned in ascending order, oldest
to newest. amazonka-comprehend5The name that you assigned to the document classifier amazonka-comprehend0Filters the list of classifiers based on status. amazonka-comprehendFilters the list of classifiers based on the time that the classifier
was submitted for processing. Returns only classifiers submitted after
the specified time. Classifiers are returned in descending order, newest
to oldest. amazonka-comprehendFilters the list of classifiers based on the time that the classifier
was submitted for processing. Returns only classifiers submitted before
the specified time. Classifiers are returned in ascending order, oldest
to newest. 7 (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; amazonka-comprehend Provides configuration parameters for the output of inference jobs.See: smart constructor. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt the output results from an analysis job. The KmsKeyId
can be one of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"KMS Key Alias: "alias/ExampleAlias" ARN of a KMS Key Alias:
7"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias" amazonka-comprehendWhen you use the OutputDataConfig object with asynchronous operations,
you specify the Amazon S3 location where you want to write the output
data. The URI must be in the same region as the API endpoint that you
are calling. The location is used as the prefix for the actual location
of the output file. When the topic detection job is finished, the service creates an output
file in a directory specific to the job. The S3Uri9 field contains the
location of the output file, called
output.tar.gz . It is a compressed
archive that contains the ouput of the operation.For a PII entity detection job, the output file is plain text, not a
compressed archive. The output file name is the same as the input file,
with .out appended at the end. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt the output results from an analysis job. The KmsKeyId
can be one of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"KMS Key Alias: "alias/ExampleAlias" ARN of a KMS Key Alias:
7"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias" , - When you use the OutputDataConfig object with asynchronous operations,
you specify the Amazon S3 location where you want to write the output
data. The URI must be in the same region as the API endpoint that you
are calling. The location is used as the prefix for the actual location
of the output file. When the topic detection job is finished, the service creates an output
file in a directory specific to the job. The S3Uri9 field contains the
location of the output file, called
output.tar.gz . It is a compressed
archive that contains the ouput of the operation.For a PII entity detection job, the output file is plain text, not a
compressed archive. The output file name is the same as the input file,
with .out appended at the end. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt the output results from an analysis job. The KmsKeyId
can be one of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"KMS Key Alias: "alias/ExampleAlias" ARN of a KMS Key Alias:
7"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias" amazonka-comprehendWhen you use the OutputDataConfig object with asynchronous operations,
you specify the Amazon S3 location where you want to write the output
data. The URI must be in the same region as the API endpoint that you
are calling. The location is used as the prefix for the actual location
of the output file. When the topic detection job is finished, the service creates an output
file in a directory specific to the job. The S3Uri9 field contains the
location of the output file, called
output.tar.gz . It is a compressed
archive that contains the ouput of the operation.For a PII entity detection job, the output file is plain text, not a
compressed archive. The output file name is the same as the input file,
with .out appended at the end. amazonka-comprehend 8 (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; amazonka-comprehend3Provides information about an events detection job.See: smart constructor. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identify and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data. amazonka-comprehend1The time that the events detection job completed. amazonka-comprehend The input data configuration that you supplied when you created the
events detection job. amazonka-comprehendThe Amazon Resource Name (ARN) of the events detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::events-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:events-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend4The identifier assigned to the events detection job. amazonka-comprehend/The name you assigned the events detection job. amazonka-comprehend/The current status of the events detection job. amazonka-comprehend)The language code of the input documents. amazonka-comprehend8A description of the status of the events detection job. amazonka-comprehend The output data configuration that you supplied when you created the
events detection job. amazonka-comprehend The time that the events detection job was submitted for processing. amazonka-comprehend1The types of events that are detected by the job. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) of the AWS Identify and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data. , 4 - The time that the events detection job completed. , - The input data configuration that you supplied when you created the
events detection job. , - The Amazon Resource Name (ARN) of the events detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::events-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:events-detection-job/1234abcd12ab34cd56ef1234567890ab , 7 - The identifier assigned to the events detection job. , 2 - The name you assigned the events detection job. , 2 - The current status of the events detection job. , , - The language code of the input documents. , ; - A description of the status of the events detection job. , - The output data configuration that you supplied when you created the
events detection job. , - The time that the events detection job was submitted for processing. , 4 - The types of events that are detected by the job. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identify and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data. amazonka-comprehend1The time that the events detection job completed. amazonka-comprehend The input data configuration that you supplied when you created the
events detection job. amazonka-comprehendThe Amazon Resource Name (ARN) of the events detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::events-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:events-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend4The identifier assigned to the events detection job. amazonka-comprehend/The name you assigned the events detection job. amazonka-comprehend/The current status of the events detection job. amazonka-comprehend)The language code of the input documents. amazonka-comprehend8A description of the status of the events detection job. amazonka-comprehend The output data configuration that you supplied when you created the
events detection job. amazonka-comprehend The time that the events detection job was submitted for processing. amazonka-comprehend1The types of events that are detected by the job. 9 (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred";?
: (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; s amazonka-comprehend Text extraction encountered one or more page-level errors in the input
document.The ErrorCode& contains one of the following values:TEXTRACT_BAD_PAGE - Amazon Textract cannot read the page. For more
information about page limits in Amazon Textract, see
https://docs.aws.amazon.com/textract/latest/dg/limits-document.html Page Quotas in Amazon Textract.TEXTRACT_PROVISIONED_THROUGHPUT_EXCEEDED - The number of requests
exceeded your throughput limit. For more information about
throughput quotas in Amazon Textract, see
https://docs.aws.amazon.com/textract/latest/dg/limits-quotas-explained.html!Default quotas in Amazon Textract. PAGE_CHARACTERS_EXCEEDED - Too many text characters on the page
(10,000 characters maximum).4PAGE_SIZE_EXCEEDED - The maximum page size is 10 MB. INTERNAL_SERVER_ERROR - The request encountered a service issue. Try
the API request again.See: smart constructor. amazonka-comprehend&Error code for the cause of the error. amazonka-comprehend1Text message explaining the reason for the error. amazonka-comprehend%Page number where the error occurred. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , ) - Error code for the cause of the error. , 4 - Text message explaining the reason for the error. , ( - Page number where the error occurred. amazonka-comprehend&Error code for the cause of the error. amazonka-comprehend1Text message explaining the reason for the error. amazonka-comprehend%Page number where the error occurred. ; (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred";? ; ' < (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; amazonka-comprehendIdentifies the part of speech represented by the token and gives the
confidence that Amazon Comprehend has that the part of speech was
correctly identified. For more information about the parts of speech
that Amazon Comprehend can identify, see
https://docs.aws.amazon.com/comprehend/latest/dg/how-syntax.htmlSyntax$
in the Comprehend Developer Guide.See: smart constructor. amazonka-comprehend The confidence that Amazon Comprehend has that the part of speech was
correctly identified. amazonka-comprehend8Identifies the part of speech that the token represents. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The confidence that Amazon Comprehend has that the part of speech was
correctly identified. , ; - Identifies the part of speech that the token represents. amazonka-comprehend The confidence that Amazon Comprehend has that the part of speech was
correctly identified. amazonka-comprehend8Identifies the part of speech that the token represents. = (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; '
amazonka-comprehend Provides information for filtering a list of PII entity detection jobs.See: smart constructor. amazonka-comprehend Filters on the name of the job. amazonka-comprehend Filters the list of jobs based on job status. Returns only jobs with the
specified status. amazonka-comprehendFilters the list of jobs based on the time that the job was submitted
for processing. Returns only jobs submitted after the specified time.
Jobs are returned in descending order, newest to oldest. amazonka-comprehendFilters the list of jobs based on the time that the job was submitted
for processing. Returns only jobs submitted before the specified time.
Jobs are returned in ascending order, oldest to newest. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , " - Filters on the name of the job. , - Filters the list of jobs based on job status. Returns only jobs with the
specified status. , - Filters the list of jobs based on the time that the job was submitted
for processing. Returns only jobs submitted after the specified time.
Jobs are returned in descending order, newest to oldest. , - Filters the list of jobs based on the time that the job was submitted
for processing. Returns only jobs submitted before the specified time.
Jobs are returned in ascending order, oldest to newest. amazonka-comprehend Filters on the name of the job. amazonka-comprehend Filters the list of jobs based on job status. Returns only jobs with the
specified status. amazonka-comprehendFilters the list of jobs based on the time that the job was submitted
for processing. Returns only jobs submitted after the specified time.
Jobs are returned in descending order, newest to oldest. amazonka-comprehendFilters the list of jobs based on the time that the job was submitted
for processing. Returns only jobs submitted before the specified time.
Jobs are returned in ascending order, oldest to newest. > (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred";? ( ? (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred";? )i @ (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred";? *% (
A (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; 2J
amazonka-comprehend(Provides information about a PII entity.See:
smart constructor.
amazonka-comprehend The zero-based offset from the beginning of the source text to the first
character in the entity.
amazonka-comprehend The zero-based offset from the beginning of the source text to the last
character in the entity.
amazonka-comprehend The level of confidence that Amazon Comprehend has in the accuracy of
the detection.
amazonka-comprehendThe entity's type.
amazonka-comprehendCreate a value of
" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility:
,
- The zero-based offset from the beginning of the source text to the first
character in the entity.
,
- The zero-based offset from the beginning of the source text to the last
character in the entity.
,
- The level of confidence that Amazon Comprehend has in the accuracy of
the detection.
,
- The entity's type.
amazonka-comprehend The zero-based offset from the beginning of the source text to the first
character in the entity.
amazonka-comprehend The zero-based offset from the beginning of the source text to the last
character in the entity.
amazonka-comprehend The level of confidence that Amazon Comprehend has in the accuracy of
the detection.
amazonka-comprehendThe entity's type.
B (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; 7(
amazonka-comprehend Specifies one of the label or labels that categorize the personally
identifiable information (PII) entity being analyzed.See:
smart constructor.
amazonka-comprehendThe name of the label.
amazonka-comprehend The level of confidence that Amazon Comprehend has in the accuracy of
the detection.
amazonka-comprehendCreate a value of
" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility:
,
- The name of the label.
,
- The level of confidence that Amazon Comprehend has in the accuracy of
the detection.
amazonka-comprehendThe name of the label.
amazonka-comprehend The level of confidence that Amazon Comprehend has in the accuracy of
the detection.
C (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; @1
amazonka-comprehend Provides configuration parameters for the output of PII entity detection
jobs.See:
smart constructor.
amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt the output results from an analysis job.
amazonka-comprehendWhen you use the PiiOutputDataConfig object with asynchronous
operations, you specify the Amazon S3 location where you want to write
the output data.For a PII entity detection job, the output file is plain text, not a
compressed archive. The output file name is the same as the input file,
with .out appended at the end.
amazonka-comprehendCreate a value of
" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility:
,
- ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt the output results from an analysis job.
,
- When you use the PiiOutputDataConfig object with asynchronous
operations, you specify the Amazon S3 location where you want to write
the output data.For a PII entity detection job, the output file is plain text, not a
compressed archive. The output file name is the same as the input file,
with .out appended at the end.
amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt the output results from an analysis job.
amazonka-comprehendWhen you use the PiiOutputDataConfig object with asynchronous
operations, you specify the Amazon S3 location where you want to write
the output data.For a PII entity detection job, the output file is plain text, not a
compressed archive. The output file name is the same as the input file,
with .out appended at the end.
amazonka-comprehend
D (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; EQ
amazonka-comprehend6The X and Y coordinates of a point on a document page.!For additional information, see
=https://docs.aws.amazon.com/textract/latest/dg/API_Point.htmlPoint' in
the Amazon Textract API reference.See:
smart constructor.
amazonka-comprehend6The value of the X coordinate for a point on a polygon
amazonka-comprehend6The value of the Y coordinate for a point on a polygon
amazonka-comprehendCreate a value of
" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility:
,
9 - The value of the X coordinate for a point on a polygon
,
9 - The value of the Y coordinate for a point on a polygon
amazonka-comprehend6The value of the X coordinate for a point on a polygon
amazonka-comprehend6The value of the Y coordinate for a point on a polygon
E (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; KL
amazonka-comprehend;Information about the location of items on a document page.!For additional information, see
https://docs.aws.amazon.com/textract/latest/dg/API_Geometry.htmlGeometry'
in the Amazon Textract API reference.See:
smart constructor.
amazonka-comprehend An axis-aligned coarse representation of the location of the recognized
item on the document page.
amazonka-comprehend Within the bounding box, a fine-grained polygon around the recognized
item.
amazonka-comprehendCreate a value of
" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility:
,
- An axis-aligned coarse representation of the location of the recognized
item on the document page.
,
- Within the bounding box, a fine-grained polygon around the recognized
item.
amazonka-comprehend An axis-aligned coarse representation of the location of the recognized
item on the document page.
amazonka-comprehend Within the bounding box, a fine-grained polygon around the recognized
item.
F (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; Q amazonka-comprehend;Provides configuration parameters for PII entity redaction.See: smart constructor. amazonka-comprehend A character that replaces each character in the redacted PII entity. amazonka-comprehend Specifies whether the PII entity is redacted with the mask character or
the entity type. amazonka-comprehend An array of the types of PII entities that Amazon Comprehend detects in
the input text for your request. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - A character that replaces each character in the redacted PII entity. , - Specifies whether the PII entity is redacted with the mask character or
the entity type. , - An array of the types of PII entities that Amazon Comprehend detects in
the input text for your request. amazonka-comprehend A character that replaces each character in the redacted PII entity. amazonka-comprehend Specifies whether the PII entity is redacted with the mask character or
the entity type. amazonka-comprehend An array of the types of PII entities that Amazon Comprehend detects in
the input text for your request. G (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; j amazonka-comprehend8Provides information about a PII entities detection job.See: smart constructor. amazonka-comprehend The Amazon Resource Name (ARN) that gives Amazon Comprehend read access
to your input data. amazonka-comprehend7The time that the PII entities detection job completed. amazonka-comprehend6The input properties for a PII entities detection job. amazonka-comprehendThe Amazon Resource Name (ARN) of the PII entities detection job. It is
a unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::pii-entities-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:pii-entities-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend:The identifier assigned to the PII entities detection job. amazonka-comprehend:The name that you assigned the PII entities detection job. amazonka-comprehend The current status of the PII entities detection job. If the status is
FAILED, the Message( field shows the reason for the failure. amazonka-comprehend(The language code of the input documents amazonka-comprehend%A description of the status of a job. amazonka-comprehend Specifies whether the output provides the locations (offsets) of PII
entities or a file in which PII entities are redacted. amazonka-comprehend The output data configuration that you supplied when you created the PII
entities detection job. amazonka-comprehend;Provides configuration parameters for PII entity redaction.*This parameter is required if you set the Mode parameter to
ONLY_REDACTION#. In that case, you must provide a RedactionConfig
definition that includes the PiiEntityTypes parameter. amazonka-comprehend The time that the PII entities detection job was submitted for
processing. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) that gives Amazon Comprehend read access
to your input data. , : - The time that the PII entities detection job completed. , 9 - The input properties for a PII entities detection job. , - The Amazon Resource Name (ARN) of the PII entities detection job. It is
a unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::pii-entities-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:pii-entities-detection-job/1234abcd12ab34cd56ef1234567890ab , = - The identifier assigned to the PII entities detection job. , = - The name that you assigned the PII entities detection job. , - The current status of the PII entities detection job. If the status is
FAILED, the Message( field shows the reason for the failure. , + - The language code of the input documents , ( - A description of the status of a job. , - Specifies whether the output provides the locations (offsets) of PII
entities or a file in which PII entities are redacted. , - The output data configuration that you supplied when you created the PII
entities detection job. , > - Provides configuration parameters for PII entity redaction.*This parameter is required if you set the Mode parameter to
ONLY_REDACTION#. In that case, you must provide a RedactionConfig
definition that includes the PiiEntityTypes parameter. , - The time that the PII entities detection job was submitted for
processing. amazonka-comprehend The Amazon Resource Name (ARN) that gives Amazon Comprehend read access
to your input data. amazonka-comprehend7The time that the PII entities detection job completed. amazonka-comprehend6The input properties for a PII entities detection job. amazonka-comprehendThe Amazon Resource Name (ARN) of the PII entities detection job. It is
a unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::pii-entities-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:pii-entities-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend:The identifier assigned to the PII entities detection job. amazonka-comprehend:The name that you assigned the PII entities detection job. amazonka-comprehend The current status of the PII entities detection job. If the status is
FAILED, the Message( field shows the reason for the failure. amazonka-comprehend(The language code of the input documents amazonka-comprehend%A description of the status of a job. amazonka-comprehend Specifies whether the output provides the locations (offsets) of PII
entities or a file in which PII entities are redacted. amazonka-comprehend The output data configuration that you supplied when you created the PII
entities detection job. amazonka-comprehend;Provides configuration parameters for PII entity redaction.*This parameter is required if you set the Mode parameter to
ONLY_REDACTION#. In that case, you must provide a RedactionConfig
definition that includes the PiiEntityTypes parameter. amazonka-comprehend The time that the PII entities detection job was submitted for
processing. H (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred";? k I (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; p amazonka-comprehend+List of child blocks for the current block.See: smart constructor. amazonka-comprehend Identifers of the child blocks. amazonka-comprehend4Only supported relationship is a child relationship. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , " - Identifers of the child blocks. , 7 - Only supported relationship is a child relationship. amazonka-comprehend Identifers of the child blocks. amazonka-comprehend4Only supported relationship is a child relationship. J (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; | amazonka-comprehend Information about each word or line of text in the input document.!For additional information, see
=https://docs.aws.amazon.com/textract/latest/dg/API_Block.htmlBlock' in
the Amazon Textract API reference.See: smart constructor. amazonka-comprehend8The block represents a line of text or one word of text.WORD - A word that's detected on a document page. A word is one or
more ISO basic Latin script characters that aren't separated by
spaces. LINE - A string of tab-delimited, contiguous words that are detected
on a document page amazonka-comprehend Co-ordinates of the rectangle or polygon that contains the text. amazonka-comprehend Unique identifier for the block. amazonka-comprehend$Page number where the block appears. amazonka-comprehendA list of child blocks of the current block. For example, a LINE object
has child blocks for each WORD block that's part of the line of text. amazonka-comprehend2The word or line of text extracted from the block. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , ; - The block represents a line of text or one word of text.WORD - A word that's detected on a document page. A word is one or
more ISO basic Latin script characters that aren't separated by
spaces. LINE - A string of tab-delimited, contiguous words that are detected
on a document page , - Co-ordinates of the rectangle or polygon that contains the text. , # - Unique identifier for the block. , ' - Page number where the block appears. , - A list of child blocks of the current block. For example, a LINE object
has child blocks for each WORD block that's part of the line of text. , 5 - The word or line of text extracted from the block. amazonka-comprehend8The block represents a line of text or one word of text.WORD - A word that's detected on a document page. A word is one or
more ISO basic Latin script characters that aren't separated by
spaces. LINE - A string of tab-delimited, contiguous words that are detected
on a document page amazonka-comprehend Co-ordinates of the rectangle or polygon that contains the text. amazonka-comprehend Unique identifier for the block. amazonka-comprehend$Page number where the block appears. amazonka-comprehendA list of child blocks of the current block. For example, a LINE object
has child blocks for each WORD block that's part of the line of text. amazonka-comprehend2The word or line of text extracted from the block. K (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&';
amazonka-comprehend Provides information for filtering a list of dominant language detection
jobs. For more information, see the operation.See: smart constructor. amazonka-comprehend Filters on the name of the job. amazonka-comprehend Filters the list of jobs based on job status. Returns only jobs with the
specified status. amazonka-comprehendFilters the list of jobs based on the time that the job was submitted
for processing. Returns only jobs submitted after the specified time.
Jobs are returned in descending order, newest to oldest. amazonka-comprehendFilters the list of jobs based on the time that the job was submitted
for processing. Returns only jobs submitted before the specified time.
Jobs are returned in ascending order, oldest to newest. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , " - Filters on the name of the job. , - Filters the list of jobs based on job status. Returns only jobs with the
specified status. , - Filters the list of jobs based on the time that the job was submitted
for processing. Returns only jobs submitted after the specified time.
Jobs are returned in descending order, newest to oldest. , - Filters the list of jobs based on the time that the job was submitted
for processing. Returns only jobs submitted before the specified time.
Jobs are returned in ascending order, oldest to newest. amazonka-comprehend Filters on the name of the job. amazonka-comprehend Filters the list of jobs based on job status. Returns only jobs with the
specified status. amazonka-comprehendFilters the list of jobs based on the time that the job was submitted
for processing. Returns only jobs submitted after the specified time.
Jobs are returned in descending order, newest to oldest. amazonka-comprehendFilters the list of jobs based on the time that the job was submitted
for processing. Returns only jobs submitted before the specified time.
Jobs are returned in ascending order, oldest to newest. L (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&';
amazonka-comprehend Describes the level of confidence that Amazon Comprehend has in the
accuracy of its detection of sentiments.See: smart constructor. amazonka-comprehend The level of confidence that Amazon Comprehend has in the accuracy of
its detection of the MIXED sentiment. amazonka-comprehend The level of confidence that Amazon Comprehend has in the accuracy of
its detection of the NEGATIVE sentiment. amazonka-comprehend The level of confidence that Amazon Comprehend has in the accuracy of
its detection of the NEUTRAL sentiment. amazonka-comprehend The level of confidence that Amazon Comprehend has in the accuracy of
its detection of the POSITIVE sentiment. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The level of confidence that Amazon Comprehend has in the accuracy of
its detection of the MIXED sentiment. , - The level of confidence that Amazon Comprehend has in the accuracy of
its detection of the NEGATIVE sentiment. , - The level of confidence that Amazon Comprehend has in the accuracy of
its detection of the NEUTRAL sentiment. , - The level of confidence that Amazon Comprehend has in the accuracy of
its detection of the POSITIVE sentiment. amazonka-comprehend The level of confidence that Amazon Comprehend has in the accuracy of
its detection of the MIXED sentiment. amazonka-comprehend The level of confidence that Amazon Comprehend has in the accuracy of
its detection of the NEGATIVE sentiment. amazonka-comprehend The level of confidence that Amazon Comprehend has in the accuracy of
its detection of the NEUTRAL sentiment. amazonka-comprehend The level of confidence that Amazon Comprehend has in the accuracy of
its detection of the POSITIVE sentiment. M (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred";? x N (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; amazonka-comprehend Contains the sentiment and sentiment score for one mention of an entity.4For more information about targeted sentiment, see
https://docs.aws.amazon.com/comprehend/latest/dg/how-targeted-sentiment.htmlTargeted sentiment.See: smart constructor. amazonka-comprehend The sentiment of the mention. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The sentiment of the mention. , - Undocumented member. amazonka-comprehend The sentiment of the mention. amazonka-comprehendUndocumented member. O (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; amazonka-comprehendThe result of calling the operation. The operation returns one object
for each document that is successfully processed by the operation.See: smart constructor. amazonka-comprehend7The zero-based index of the document in the input list. amazonka-comprehend'The sentiment detected in the document. amazonka-comprehend The level of confidence that Amazon Comprehend has in the accuracy of
its sentiment detection. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , : - The zero-based index of the document in the input list. , * - The sentiment detected in the document. , - The level of confidence that Amazon Comprehend has in the accuracy of
its sentiment detection. amazonka-comprehend7The zero-based index of the document in the input list. amazonka-comprehend'The sentiment detected in the document. amazonka-comprehend The level of confidence that Amazon Comprehend has in the accuracy of
its sentiment detection. P (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred";? Q (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; _ amazonka-comprehendAn augmented manifest file that provides training data for your custom
model. An augmented manifest file is a labeled dataset that is produced
by Amazon SageMaker Ground Truth.See: smart constructor. amazonka-comprehend The S3 prefix to the annotation files that are referred in the augmented
manifest file. amazonka-comprehendThe type of augmented manifest. PlainTextDocument or
SemiStructuredDocument. If you don't specify, the default is
PlainTextDocument.PLAIN_TEXT_DOCUMENT A document type that represents any unicode
text that is encoded in UTF-8.SEMI_STRUCTURED_DOCUMENT A document type with positional and
structural context, like a PDF. For training with Amazon Comprehend,
only PDFs are supported. For inference, Amazon Comprehend support
PDFs, DOCX and TXT. amazonka-comprehend The S3 prefix to the source files (PDFs) that are referred to in the
augmented manifest file. amazonka-comprehendThe purpose of the data you've provided in the augmented manifest. You
can either train or test this data. If you don't specify, the default
is train.TRAIN - all of the documents in the manifest will be used for training.
If no test documents are provided, Amazon Comprehend will automatically
reserve a portion of the training documents for testing. TEST - all of the documents in the manifest will be used for testing. amazonka-comprehend6The Amazon S3 location of the augmented manifest file. amazonka-comprehendThe JSON attribute that contains the annotations for your training
documents. The number of attribute names that you specify depends on
whether your augmented manifest file is the output of a single labeling
job or a chained labeling job.If your file is the output of a single labeling job, specify the
LabelAttributeName key that was used when the job was created in Ground
Truth.If your file is the output of a chained labeling job, specify the
LabelAttributeName key for one or more jobs in the chain. Each
LabelAttributeName key provides the annotations from an individual job. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The S3 prefix to the annotation files that are referred in the augmented
manifest file. , - The type of augmented manifest. PlainTextDocument or
SemiStructuredDocument. If you don't specify, the default is
PlainTextDocument.PLAIN_TEXT_DOCUMENT A document type that represents any unicode
text that is encoded in UTF-8.SEMI_STRUCTURED_DOCUMENT A document type with positional and
structural context, like a PDF. For training with Amazon Comprehend,
only PDFs are supported. For inference, Amazon Comprehend support
PDFs, DOCX and TXT. , - The S3 prefix to the source files (PDFs) that are referred to in the
augmented manifest file. , - The purpose of the data you've provided in the augmented manifest. You
can either train or test this data. If you don't specify, the default
is train.TRAIN - all of the documents in the manifest will be used for training.
If no test documents are provided, Amazon Comprehend will automatically
reserve a portion of the training documents for testing. TEST - all of the documents in the manifest will be used for testing. , 9 - The Amazon S3 location of the augmented manifest file. , - The JSON attribute that contains the annotations for your training
documents. The number of attribute names that you specify depends on
whether your augmented manifest file is the output of a single labeling
job or a chained labeling job.If your file is the output of a single labeling job, specify the
LabelAttributeName key that was used when the job was created in Ground
Truth.If your file is the output of a chained labeling job, specify the
LabelAttributeName key for one or more jobs in the chain. Each
LabelAttributeName key provides the annotations from an individual job. amazonka-comprehend The S3 prefix to the annotation files that are referred in the augmented
manifest file. amazonka-comprehendThe type of augmented manifest. PlainTextDocument or
SemiStructuredDocument. If you don't specify, the default is
PlainTextDocument.PLAIN_TEXT_DOCUMENT A document type that represents any unicode
text that is encoded in UTF-8.SEMI_STRUCTURED_DOCUMENT A document type with positional and
structural context, like a PDF. For training with Amazon Comprehend,
only PDFs are supported. For inference, Amazon Comprehend support
PDFs, DOCX and TXT. amazonka-comprehend The S3 prefix to the source files (PDFs) that are referred to in the
augmented manifest file. amazonka-comprehendThe purpose of the data you've provided in the augmented manifest. You
can either train or test this data. If you don't specify, the default
is train.TRAIN - all of the documents in the manifest will be used for training.
If no test documents are provided, Amazon Comprehend will automatically
reserve a portion of the training documents for testing. TEST - all of the documents in the manifest will be used for testing. amazonka-comprehend6The Amazon S3 location of the augmented manifest file. amazonka-comprehendThe JSON attribute that contains the annotations for your training
documents. The number of attribute names that you specify depends on
whether your augmented manifest file is the output of a single labeling
job or a chained labeling job.If your file is the output of a single labeling job, specify the
LabelAttributeName key that was used when the job was created in Ground
Truth.If your file is the output of a chained labeling job, specify the
LabelAttributeName key for one or more jobs in the chain. Each
LabelAttributeName key provides the annotations from an individual job. amazonka-comprehend R (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; amazonka-comprehend4Specifies the format and location of the input data.See:
smart constructor. amazonka-comprehend The S3 location of the CSV file that annotates your training documents. amazonka-comprehendA list of augmented manifest files that provide training data for your
custom model. An augmented manifest file is a labeled dataset that is
produced by Amazon SageMaker Ground Truth.&This parameter is required if you set
DataFormat to
AUGMENTED_MANIFEST. amazonka-comprehend!The format of your training data:COMPREHEND_CSV: A CSV file that supplements your training
documents. The CSV file contains information about the custom
entities that your trained model will detect. The required format of
the file depends on whether you are providing annotations or an
entity list. If you use this value, you must provide your CSV file by using
either the Annotations or
EntityList parameters. You must
provide your training documents by using the Documents parameter.AUGMENTED_MANIFEST: A labeled dataset that is produced by Amazon
SageMaker Ground Truth. This file is in JSON lines format. Each line
is a complete JSON object that contains a training document and its
labels. Each label annotates a named entity in the training
document.,If you use this value, you must provide the AugmentedManifests
parameter in your request.5If you don't specify a value, Amazon Comprehend uses COMPREHEND_CSV
as the default.
amazonka-comprehend The S3 location of the folder that contains the training documents for
your custom entity recognizer.&This parameter is required if you set
DataFormat to COMPREHEND_CSV.
amazonka-comprehend The S3 location of the CSV file that has the entity list for your custom
entity recognizer.
amazonka-comprehendThe entity types in the labeled training data that Amazon Comprehend
uses to train the custom entity recognizer. Any entity types that you
don't specify are ignored.A maximum of 25 entity types can be used at one time to train an entity
recognizer. Entity types must not contain the following invalid
characters: \n (line break), \\n (escaped line break), \r (carriage
return), \\r (escaped carriage return), \t (tab), \\t (escaped
tab), space, and , (comma).
amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: ,
- The S3 location of the CSV file that annotates your training documents. ,
- A list of augmented manifest files that provide training data for your
custom model. An augmented manifest file is a labeled dataset that is
produced by Amazon SageMaker Ground Truth.&This parameter is required if you set
DataFormat to
AUGMENTED_MANIFEST. ,
$ - The format of your training data:COMPREHEND_CSV: A CSV file that supplements your training
documents. The CSV file contains information about the custom
entities that your trained model will detect. The required format of
the file depends on whether you are providing annotations or an
entity list. If you use this value, you must provide your CSV file by using
either the Annotations or
EntityList parameters. You must
provide your training documents by using the Documents parameter.AUGMENTED_MANIFEST: A labeled dataset that is produced by Amazon
SageMaker Ground Truth. This file is in JSON lines format. Each line
is a complete JSON object that contains a training document and its
labels. Each label annotates a named entity in the training
document.,If you use this value, you must provide the AugmentedManifests
parameter in your request.5If you don't specify a value, Amazon Comprehend uses COMPREHEND_CSV
as the default.
,
- The S3 location of the folder that contains the training documents for
your custom entity recognizer.&This parameter is required if you set
DataFormat to COMPREHEND_CSV.
,
- The S3 location of the CSV file that has the entity list for your custom
entity recognizer.
,
- The entity types in the labeled training data that Amazon Comprehend
uses to train the custom entity recognizer. Any entity types that you
don't specify are ignored.A maximum of 25 entity types can be used at one time to train an entity
recognizer. Entity types must not contain the following invalid
characters: \n (line break), \\n (escaped line break), \r (carriage
return), \\r (escaped carriage return), \t (tab), \\t (escaped
tab), space, and , (comma).
amazonka-comprehend The S3 location of the CSV file that annotates your training documents.
amazonka-comprehendA list of augmented manifest files that provide training data for your
custom model. An augmented manifest file is a labeled dataset that is
produced by Amazon SageMaker Ground Truth.&This parameter is required if you set
DataFormat to
AUGMENTED_MANIFEST.
amazonka-comprehend!The format of your training data:COMPREHEND_CSV: A CSV file that supplements your training
documents. The CSV file contains information about the custom
entities that your trained model will detect. The required format of
the file depends on whether you are providing annotations or an
entity list. If you use this value, you must provide your CSV file by using
either the Annotations or
EntityList parameters. You must
provide your training documents by using the Documents parameter.AUGMENTED_MANIFEST: A labeled dataset that is produced by Amazon
SageMaker Ground Truth. This file is in JSON lines format. Each line
is a complete JSON object that contains a training document and its
labels. Each label annotates a named entity in the training
document.,If you use this value, you must provide the AugmentedManifests
parameter in your request.5If you don't specify a value, Amazon Comprehend uses COMPREHEND_CSV
as the default.
amazonka-comprehend The S3 location of the folder that contains the training documents for
your custom entity recognizer.&This parameter is required if you set
DataFormat to COMPREHEND_CSV.
amazonka-comprehend The S3 location of the CSV file that has the entity list for your custom
entity recognizer.
amazonka-comprehendThe entity types in the labeled training data that Amazon Comprehend
uses to train the custom entity recognizer. Any entity types that you
don't specify are ignored.A maximum of 25 entity types can be used at one time to train an entity
recognizer. Entity types must not contain the following invalid
characters: \n (line break), \\n (escaped line break), \r (carriage
return), \\r (escaped carriage return), \t (tab), \\t (escaped
tab), space, and , (comma).
S (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&';
amazonka-comprehend8The input properties for training a document classifier.>For more information on how the input file is formatted, see
https://docs.aws.amazon.com/comprehend/latest/dg/prep-classifier-data.htmlPreparing training data$
in the Comprehend Developer Guide.See:
smart constructor.
amazonka-comprehendA list of augmented manifest files that provide training data for your
custom model. An augmented manifest file is a labeled dataset that is
produced by Amazon SageMaker Ground Truth.&This parameter is required if you set
DataFormat to
AUGMENTED_MANIFEST.
amazonka-comprehend!The format of your training data:COMPREHEND_CSV: A two-column CSV file, where labels are provided
in the first column, and documents are provided in the second. If
you use this value, you must provide the S3Uri parameter in your
request.AUGMENTED_MANIFEST: A labeled dataset that is produced by Amazon
SageMaker Ground Truth. This file is in JSON lines format. Each line
is a complete JSON object that contains a training document and its
associated labels.,If you use this value, you must provide the AugmentedManifests
parameter in your request.5If you don't specify a value, Amazon Comprehend uses COMPREHEND_CSV
as the default.
amazonka-comprehendIndicates the delimiter used to separate each label for training a
multi-label classifier. The default delimiter between labels is a pipe
(|). You can use a different character as a delimiter (if it's an
allowed character) by specifying it under Delimiter for labels. If the
training documents use a delimiter other than the default or the
delimiter you specify, the labels on that line will be combined to make
a single unique label, such as LABELLABELLABEL.
amazonka-comprehendThe Amazon S3 URI for the input data. The S3 bucket must be in the same
region as the API endpoint that you are calling. The URI can point to a
single input file or it can provide the prefix for a collection of input
files. For example, if you use the URI S3://bucketName/prefix, if the
prefix is a single file, Amazon Comprehend uses that file as input. If
more than one file begins with the prefix, Amazon Comprehend uses all of
them as input.&This parameter is required if you set
DataFormat to COMPREHEND_CSV.
amazonka-comprehendThis specifies the Amazon S3 location where the test annotations for an
entity recognizer are located. The URI must be in the same AWS Region as
the API endpoint that you are calling.
amazonka-comprehendCreate a value of
" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility:
,
- A list of augmented manifest files that provide training data for your
custom model. An augmented manifest file is a labeled dataset that is
produced by Amazon SageMaker Ground Truth.&This parameter is required if you set
DataFormat to
AUGMENTED_MANIFEST.
,
$ - The format of your training data:COMPREHEND_CSV: A two-column CSV file, where labels are provided
in the first column, and documents are provided in the second. If
you use this value, you must provide the S3Uri parameter in your
request.AUGMENTED_MANIFEST: A labeled dataset that is produced by Amazon
SageMaker Ground Truth. This file is in JSON lines format. Each line
is a complete JSON object that contains a training document and its
associated labels.,If you use this value, you must provide the AugmentedManifests
parameter in your request.5If you don't specify a value, Amazon Comprehend uses COMPREHEND_CSV
as the default.
,
- Indicates the delimiter used to separate each label for training a
multi-label classifier. The default delimiter between labels is a pipe
(|). You can use a different character as a delimiter (if it's an
allowed character) by specifying it under Delimiter for labels. If the
training documents use a delimiter other than the default or the
delimiter you specify, the labels on that line will be combined to make
a single unique label, such as LABELLABELLABEL.
,
- The Amazon S3 URI for the input data. The S3 bucket must be in the same
region as the API endpoint that you are calling. The URI can point to a
single input file or it can provide the prefix for a collection of input
files. For example, if you use the URI S3://bucketName/prefix, if the
prefix is a single file, Amazon Comprehend uses that file as input. If
more than one file begins with the prefix, Amazon Comprehend uses all of
them as input.&This parameter is required if you set
DataFormat to COMPREHEND_CSV.
,
- This specifies the Amazon S3 location where the test annotations for an
entity recognizer are located. The URI must be in the same AWS Region as
the API endpoint that you are calling.
amazonka-comprehendA list of augmented manifest files that provide training data for your
custom model. An augmented manifest file is a labeled dataset that is
produced by Amazon SageMaker Ground Truth.&This parameter is required if you set
DataFormat to
AUGMENTED_MANIFEST.
amazonka-comprehend!The format of your training data:COMPREHEND_CSV: A two-column CSV file, where labels are provided
in the first column, and documents are provided in the second. If
you use this value, you must provide the S3Uri parameter in your
request.AUGMENTED_MANIFEST: A labeled dataset that is produced by Amazon
SageMaker Ground Truth. This file is in JSON lines format. Each line
is a complete JSON object that contains a training document and its
associated labels.,If you use this value, you must provide the AugmentedManifests
parameter in your request.5If you don't specify a value, Amazon Comprehend uses COMPREHEND_CSV
as the default.
amazonka-comprehendIndicates the delimiter used to separate each label for training a
multi-label classifier. The default delimiter between labels is a pipe
(|). You can use a different character as a delimiter (if it's an
allowed character) by specifying it under Delimiter for labels. If the
training documents use a delimiter other than the default or the
delimiter you specify, the labels on that line will be combined to make
a single unique label, such as LABELLABELLABEL.
amazonka-comprehendThe Amazon S3 URI for the input data. The S3 bucket must be in the same
region as the API endpoint that you are calling. The URI can point to a
single input file or it can provide the prefix for a collection of input
files. For example, if you use the URI S3://bucketName/prefix, if the
prefix is a single file, Amazon Comprehend uses that file as input. If
more than one file begins with the prefix, Amazon Comprehend uses all of
them as input.&This parameter is required if you set
DataFormat to COMPREHEND_CSV.
amazonka-comprehendThis specifies the Amazon S3 location where the test annotations for an
entity recognizer are located. The URI must be in the same AWS Region as
the API endpoint that you are calling.
T (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred";?
U (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&';
amazonka-comprehendRepresents a work in the input text that was recognized and assigned a
part of speech. There is one syntax token record for each word in the
source text.See:
smart constructor.
amazonka-comprehend The zero-based offset from the beginning of the source text to the first
character in the word.
amazonka-comprehend The zero-based offset from the beginning of the source text to the last
character in the word.
amazonka-comprehendProvides the part of speech label and the confidence level that Amazon
Comprehend has that the part of speech was correctly identified. For
more information, see
https://docs.aws.amazon.com/comprehend/latest/dg/how-syntax.htmlSyntax$
in the Comprehend Developer Guide.
amazonka-comprehend0The word that was recognized in the source text.
amazonka-comprehend A unique identifier for a token.
amazonka-comprehendCreate a value of
" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility:
,
- The zero-based offset from the beginning of the source text to the first
character in the word.
,
- The zero-based offset from the beginning of the source text to the last
character in the word.
,
- Provides the part of speech label and the confidence level that Amazon
Comprehend has that the part of speech was correctly identified. For
more information, see
https://docs.aws.amazon.com/comprehend/latest/dg/how-syntax.htmlSyntax$
in the Comprehend Developer Guide.
,
3 - The word that was recognized in the source text.
,
# - A unique identifier for a token.
amazonka-comprehend The zero-based offset from the beginning of the source text to the first
character in the word.
amazonka-comprehend The zero-based offset from the beginning of the source text to the last
character in the word.
amazonka-comprehendProvides the part of speech label and the confidence level that Amazon
Comprehend has that the part of speech was correctly identified. For
more information, see
https://docs.aws.amazon.com/comprehend/latest/dg/how-syntax.htmlSyntax$
in the Comprehend Developer Guide.
amazonka-comprehend0The word that was recognized in the source text.
amazonka-comprehend A unique identifier for a token.
V (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&';
amazonka-comprehend The result of calling the operation. The operation returns one object
that is successfully processed by the operation.See:
smart constructor.
amazonka-comprehend7The zero-based index of the document in the input list.
amazonka-comprehend The syntax tokens for the words in the document, one token for each
word.
amazonka-comprehendCreate a value of
" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility:
,
: - The zero-based index of the document in the input list.
,
- The syntax tokens for the words in the document, one token for each
word.
amazonka-comprehend7The zero-based index of the document in the input list.
amazonka-comprehend The syntax tokens for the words in the document, one token for each
word.
W (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; *
amazonka-comprehendA key-value pair that adds as a metadata to a resource used by Amazon
Comprehend. For example, a tag with the key-value pair
@Department@:@Sales@ might be added to a resource to indicate its use by
a particular department.See:
smart constructor.
amazonka-comprehendThe second part of a key-value pair that forms a tag associated with a
given resource. For instance, if you want to show which resources are
used by which departments, you might use @Department@ as the initial
(key) portion of the pair, with a value of @sales@ to indicate the sales
department.
amazonka-comprehendThe initial part of a key-value pair that forms a tag associated with a
given resource. For instance, if you want to show which resources are
used by which departments, you might use @Department@ as the key portion
of the pair, with multiple possible values such as @sales,@ @legal,@ and
@administration.@
amazonka-comprehendCreate a value of
" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility:
,
- The second part of a key-value pair that forms a tag associated with a
given resource. For instance, if you want to show which resources are
used by which departments, you might use @Department@ as the initial
(key) portion of the pair, with a value of @sales@ to indicate the sales
department.
,
- The initial part of a key-value pair that forms a tag associated with a
given resource. For instance, if you want to show which resources are
used by which departments, you might use @Department@ as the key portion
of the pair, with multiple possible values such as @sales,@ @legal,@ and
@administration.@
amazonka-comprehendThe second part of a key-value pair that forms a tag associated with a
given resource. For instance, if you want to show which resources are
used by which departments, you might use @Department@ as the initial
(key) portion of the pair, with a value of @sales@ to indicate the sales
department.
amazonka-comprehendThe initial part of a key-value pair that forms a tag associated with a
given resource. For instance, if you want to show which resources are
used by which departments, you might use @Department@ as the key portion
of the pair, with multiple possible values such as @sales,@ @legal,@ and
@administration.@
amazonka-comprehend
X (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; e
amazonka-comprehend Provides information for filtering a list of dominant language detection
jobs. For more information, see the operation.See:
smart constructor.
amazonka-comprehend Filters on the name of the job.
amazonka-comprehend Filters the list of jobs based on job status. Returns only jobs with the
specified status.
amazonka-comprehendFilters the list of jobs based on the time that the job was submitted
for processing. Returns only jobs submitted after the specified time.
Jobs are returned in descending order, newest to oldest.
amazonka-comprehendFilters the list of jobs based on the time that the job was submitted
for processing. Returns only jobs submitted before the specified time.
Jobs are returned in ascending order, oldest to newest.
amazonka-comprehendCreate a value of
" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility:
,
" - Filters on the name of the job.
,
- Filters the list of jobs based on job status. Returns only jobs with the
specified status.
,
- Filters the list of jobs based on the time that the job was submitted
for processing. Returns only jobs submitted after the specified time.
Jobs are returned in descending order, newest to oldest.
,
- Filters the list of jobs based on the time that the job was submitted
for processing. Returns only jobs submitted before the specified time.
Jobs are returned in ascending order, oldest to newest.
amazonka-comprehend Filters on the name of the job.
amazonka-comprehend Filters the list of jobs based on job status. Returns only jobs with the
specified status.
amazonka-comprehendFilters the list of jobs based on the time that the job was submitted
for processing. Returns only jobs submitted after the specified time.
Jobs are returned in descending order, newest to oldest.
amazonka-comprehendFilters the list of jobs based on the time that the job was submitted
for processing. Returns only jobs submitted before the specified time.
Jobs are returned in ascending order, oldest to newest.
Y (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred";? 5 % Z (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; ' amazonka-comprehendInformation about one mention of an entity. The mention information
includes the location of the mention in the text and the sentiment of
the mention.4For more information about targeted sentiment, see
https://docs.aws.amazon.com/comprehend/latest/dg/how-targeted-sentiment.htmlTargeted sentiment.See: smart constructor. amazonka-comprehend;The offset into the document text where the mention begins. amazonka-comprehend9The offset into the document text where the mention ends. amazonka-comprehend The confidence that all the entities mentioned in the group relate to
the same entity. amazonka-comprehend;Contains the sentiment and sentiment score for the mention. amazonka-comprehend Model confidence that the entity is relevant. Value range is zero to
one, where one is highest confidence. amazonka-comprehend4The text in the document that identifies the entity. amazonka-comprehend The type of the entity. Amazon Comprehend supports a variety of
https://docs.aws.amazon.com/comprehend/latest/dg/how-targeted-sentiment.html#how-targeted-sentiment-entities entity types. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , > - The offset into the document text where the mention begins. , < - The offset into the document text where the mention ends. , - The confidence that all the entities mentioned in the group relate to
the same entity. , > - Contains the sentiment and sentiment score for the mention. , - Model confidence that the entity is relevant. Value range is zero to
one, where one is highest confidence. , 7 - The text in the document that identifies the entity. , - The type of the entity. Amazon Comprehend supports a variety of
https://docs.aws.amazon.com/comprehend/latest/dg/how-targeted-sentiment.html#how-targeted-sentiment-entities entity types. amazonka-comprehend;The offset into the document text where the mention begins. amazonka-comprehend9The offset into the document text where the mention ends. amazonka-comprehend The confidence that all the entities mentioned in the group relate to
the same entity. amazonka-comprehend;Contains the sentiment and sentiment score for the mention. amazonka-comprehend Model confidence that the entity is relevant. Value range is zero to
one, where one is highest confidence. amazonka-comprehend4The text in the document that identifies the entity. amazonka-comprehend The type of the entity. Amazon Comprehend supports a variety of
https://docs.aws.amazon.com/comprehend/latest/dg/how-targeted-sentiment.html#how-targeted-sentiment-entities entity types. [ (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; / amazonka-comprehend Information about one of the entities found by targeted sentiment
analysis.4For more information about targeted sentiment, see
https://docs.aws.amazon.com/comprehend/latest/dg/how-targeted-sentiment.htmlTargeted sentiment.See: smart constructor. amazonka-comprehend One or more index into the Mentions array that provides the best name
for the entity group. amazonka-comprehend An array of mentions of the entity in the document. The array represents
a co-reference group. See
https://docs.aws.amazon.com/comprehend/latest/dg/how-targeted-sentiment.html#how-targeted-sentiment-valuesCo-reference group
for an example. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - One or more index into the Mentions array that provides the best name
for the entity group. , - An array of mentions of the entity in the document. The array represents
a co-reference group. See
https://docs.aws.amazon.com/comprehend/latest/dg/how-targeted-sentiment.html#how-targeted-sentiment-valuesCo-reference group
for an example. amazonka-comprehend One or more index into the Mentions array that provides the best name
for the entity group. amazonka-comprehend An array of mentions of the entity in the document. The array represents
a co-reference group. See
https://docs.aws.amazon.com/comprehend/latest/dg/how-targeted-sentiment.html#how-targeted-sentiment-valuesCo-reference group
for an example. \ (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; 4' amazonka-comprehend7Analysis results for one of the documents in the batch.See: smart constructor. amazonka-comprehend(An array of targeted sentiment entities. amazonka-comprehend6The zero-based index of this result in the input list. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , + - An array of targeted sentiment entities. , 9 - The zero-based index of this result in the input list. amazonka-comprehend(An array of targeted sentiment entities. amazonka-comprehend6The zero-based index of this result in the input list. ] (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; = amazonka-comprehend Provides information for filtering topic detection jobs. For more
information, see .See: smart constructor. amazonka-comprehend Filters the list of topic detection jobs based on job status. Returns
only jobs with the specified status. amazonka-comprehendFilters the list of jobs based on the time that the job was submitted
for processing. Only returns jobs submitted after the specified time.
Jobs are returned in ascending order, oldest to newest. amazonka-comprehendFilters the list of jobs based on the time that the job was submitted
for processing. Only returns jobs submitted before the specified time.
Jobs are returned in descending order, newest to oldest. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - , - Filters the list of topic detection jobs based on job status. Returns
only jobs with the specified status. , - Filters the list of jobs based on the time that the job was submitted
for processing. Only returns jobs submitted after the specified time.
Jobs are returned in ascending order, oldest to newest. , - Filters the list of jobs based on the time that the job was submitted
for processing. Only returns jobs submitted before the specified time.
Jobs are returned in descending order, newest to oldest. amazonka-comprehend Filters the list of topic detection jobs based on job status. Returns
only jobs with the specified status. amazonka-comprehendFilters the list of jobs based on the time that the job was submitted
for processing. Only returns jobs submitted after the specified time.
Jobs are returned in ascending order, oldest to newest. amazonka-comprehendFilters the list of jobs based on the time that the job was submitted
for processing. Only returns jobs submitted before the specified time.
Jobs are returned in descending order, newest to oldest. ^ (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; Lr amazonka-comprehendConfiguration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for the job. For more
information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC.See: smart constructor. amazonka-comprehendThe ID number for a security group on an instance of your private VPC.
Security groups on your VPC function serve as a virtual firewall to
control inbound and outbound traffic and provides security for the
resources that you@ll be accessing on the VPC. This ID number is
preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more
information, see
https://docs.aws.amazon.com/vpc/latest/userguide/VPC_SecurityGroups.html Security Groups for your VPC. amazonka-comprehendThe ID for each subnet being used in your private VPC. This subnet is a
subset of the a range of IPv4 addresses used by the VPC and is specific
to a given availability zone in the VPC@s region. This ID number is
preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For
more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/VPC_Subnets.htmlVPCs and Subnets. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The ID number for a security group on an instance of your private VPC.
Security groups on your VPC function serve as a virtual firewall to
control inbound and outbound traffic and provides security for the
resources that you@ll be accessing on the VPC. This ID number is
preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more
information, see
https://docs.aws.amazon.com/vpc/latest/userguide/VPC_SecurityGroups.html Security Groups for your VPC. , - The ID for each subnet being used in your private VPC. This subnet is a
subset of the a range of IPv4 addresses used by the VPC and is specific
to a given availability zone in the VPC@s region. This ID number is
preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For
more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/VPC_Subnets.htmlVPCs and Subnets. amazonka-comprehendThe ID number for a security group on an instance of your private VPC.
Security groups on your VPC function serve as a virtual firewall to
control inbound and outbound traffic and provides security for the
resources that you@ll be accessing on the VPC. This ID number is
preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more
information, see
https://docs.aws.amazon.com/vpc/latest/userguide/VPC_SecurityGroups.html Security Groups for your VPC. amazonka-comprehendThe ID for each subnet being used in your private VPC. This subnet is a
subset of the a range of IPv4 addresses used by the VPC and is specific
to a given availability zone in the VPC@s region. This ID number is
preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For
more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/VPC_Subnets.htmlVPCs and Subnets. amazonka-comprehend amazonka-comprehend _ (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; iv amazonka-comprehend1Provides information about a topic detection job.See: smart constructor. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Management (IAM)
role that grants Amazon Comprehend read access to your job data. amazonka-comprehend4The time that the topic detection job was completed. amazonka-comprehend The input data configuration supplied when you created the topic
detection job. amazonka-comprehendThe Amazon Resource Name (ARN) of the topics detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::topics-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:topics-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend3The identifier assigned to the topic detection job. amazonka-comprehend$The name of the topic detection job. amazonka-comprehend The current status of the topic detection job. If the status is
Failed-, the reason for the failure is shown in the Message field. amazonka-comprehend&A description for the status of a job. amazonka-comprehend The number of topics to detect supplied when you created the topic
detection job. The default is 10. amazonka-comprehend The output data configuration supplied when you created the topic
detection job. amazonka-comprehend The time that the topic detection job was submitted for processing. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your topic detection job. For
more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM)
role that grants Amazon Comprehend read access to your job data. , 7 - The time that the topic detection job was completed. , - The input data configuration supplied when you created the topic
detection job. , - The Amazon Resource Name (ARN) of the topics detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::topics-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:topics-detection-job/1234abcd12ab34cd56ef1234567890ab , 6 - The identifier assigned to the topic detection job. , ' - The name of the topic detection job. , - The current status of the topic detection job. If the status is
Failed-, the reason for the failure is shown in the Message field. , ) - A description for the status of a job. , - The number of topics to detect supplied when you created the topic
detection job. The default is 10. , - The output data configuration supplied when you created the topic
detection job. , - The time that the topic detection job was submitted for processing. , - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" , - Configuration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your topic detection job. For
more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Management (IAM)
role that grants Amazon Comprehend read access to your job data. amazonka-comprehend4The time that the topic detection job was completed. amazonka-comprehend The input data configuration supplied when you created the topic
detection job. amazonka-comprehendThe Amazon Resource Name (ARN) of the topics detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::topics-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:topics-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend3The identifier assigned to the topic detection job. amazonka-comprehend$The name of the topic detection job. amazonka-comprehend The current status of the topic detection job. If the status is
Failed-, the reason for the failure is shown in the Message field. amazonka-comprehend&A description for the status of a job. amazonka-comprehend The number of topics to detect supplied when you created the topic
detection job. The default is 10. amazonka-comprehend The output data configuration supplied when you created the topic
detection job. amazonka-comprehend The time that the topic detection job was submitted for processing. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your topic detection job. For
more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. ` (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; \ amazonka-comprehend>Provides information about a targeted sentiment detection job.See: smart constructor. amazonka-comprehend The Amazon Resource Name (ARN) that gives Amazon Comprehend read access
to your input data. amazonka-comprehend9The time that the targeted sentiment detection job ended. amazonka-comprehendThe Amazon Resource Name (ARN) of the targeted sentiment detection job.
It is a unique, fully qualified identifier for the job. It includes the
AWS account, Region, and the job ID. The format of the ARN is as
follows: arn::comprehend:::targeted-sentiment-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:targeted-sentiment-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend The identifier assigned to the targeted sentiment detection job. amazonka-comprehend The name that you assigned to the targeted sentiment detection job. amazonka-comprehend The current status of the targeted sentiment detection job. If the
status is FAILED, the Messages) field shows the reason for the
failure. amazonka-comprehend)The language code of the input documents. amazonka-comprehend%A description of the status of a job. amazonka-comprehend The time that the targeted sentiment detection job was submitted for
processing. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the targeted sentiment detection job. The
VolumeKmsKeyId can be either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) that gives Amazon Comprehend read access
to your input data. , < - The time that the targeted sentiment detection job ended. , - Undocumented member. , - The Amazon Resource Name (ARN) of the targeted sentiment detection job.
It is a unique, fully qualified identifier for the job. It includes the
AWS account, Region, and the job ID. The format of the ARN is as
follows: arn::comprehend:::targeted-sentiment-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:targeted-sentiment-detection-job/1234abcd12ab34cd56ef1234567890ab , - The identifier assigned to the targeted sentiment detection job. , - The name that you assigned to the targeted sentiment detection job. , - The current status of the targeted sentiment detection job. If the
status is FAILED, the Messages) field shows the reason for the
failure. , , - The language code of the input documents. , ( - A description of the status of a job. , - Undocumented member. , - The time that the targeted sentiment detection job was submitted for
processing. , - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the targeted sentiment detection job. The
VolumeKmsKeyId can be either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" , - Undocumented member. amazonka-comprehend The Amazon Resource Name (ARN) that gives Amazon Comprehend read access
to your input data. amazonka-comprehend9The time that the targeted sentiment detection job ended. amazonka-comprehendUndocumented member. amazonka-comprehendThe Amazon Resource Name (ARN) of the targeted sentiment detection job.
It is a unique, fully qualified identifier for the job. It includes the
AWS account, Region, and the job ID. The format of the ARN is as
follows: arn::comprehend:::targeted-sentiment-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:targeted-sentiment-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend The identifier assigned to the targeted sentiment detection job. amazonka-comprehend The name that you assigned to the targeted sentiment detection job. amazonka-comprehend The current status of the targeted sentiment detection job. If the
status is FAILED, the Messages) field shows the reason for the
failure. amazonka-comprehend)The language code of the input documents. amazonka-comprehend%A description of the status of a job. amazonka-comprehendUndocumented member. amazonka-comprehend The time that the targeted sentiment detection job was submitted for
processing. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the targeted sentiment detection job. The
VolumeKmsKeyId can be either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendUndocumented member. a (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; 8 amazonka-comprehend5Provides information about a sentiment detection job.See: smart constructor. amazonka-comprehend The Amazon Resource Name (ARN) that gives Amazon Comprehend read access
to your input data. amazonka-comprehend0The time that the sentiment detection job ended. amazonka-comprehend The input data configuration that you supplied when you created the
sentiment detection job. amazonka-comprehendThe Amazon Resource Name (ARN) of the sentiment detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::sentiment-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:sentiment-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend7The identifier assigned to the sentiment detection job. amazonka-comprehend9The name that you assigned to the sentiment detection job amazonka-comprehend The current status of the sentiment detection job. If the status is
FAILED, the Messages( field shows the reason for the failure. amazonka-comprehend)The language code of the input documents. amazonka-comprehend%A description of the status of a job. amazonka-comprehend The output data configuration that you supplied when you created the
sentiment detection job. amazonka-comprehend The time that the sentiment detection job was submitted for processing. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your sentiment detection job.
For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) that gives Amazon Comprehend read access
to your input data. , 3 - The time that the sentiment detection job ended. , - The input data configuration that you supplied when you created the
sentiment detection job. , - The Amazon Resource Name (ARN) of the sentiment detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::sentiment-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:sentiment-detection-job/1234abcd12ab34cd56ef1234567890ab , : - The identifier assigned to the sentiment detection job. , < - The name that you assigned to the sentiment detection job , - The current status of the sentiment detection job. If the status is
FAILED, the Messages( field shows the reason for the failure. , , - The language code of the input documents. , ( - A description of the status of a job. , - The output data configuration that you supplied when you created the
sentiment detection job. , - The time that the sentiment detection job was submitted for processing. , - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" , - Configuration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your sentiment detection job.
For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehend The Amazon Resource Name (ARN) that gives Amazon Comprehend read access
to your input data. amazonka-comprehend0The time that the sentiment detection job ended. amazonka-comprehend The input data configuration that you supplied when you created the
sentiment detection job. amazonka-comprehendThe Amazon Resource Name (ARN) of the sentiment detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::sentiment-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:sentiment-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend7The identifier assigned to the sentiment detection job. amazonka-comprehend9The name that you assigned to the sentiment detection job amazonka-comprehend The current status of the sentiment detection job. If the status is
FAILED, the Messages( field shows the reason for the failure. amazonka-comprehend)The language code of the input documents. amazonka-comprehend%A description of the status of a job. amazonka-comprehend The output data configuration that you supplied when you created the
sentiment detection job. amazonka-comprehend The time that the sentiment detection job was submitted for processing. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your sentiment detection job.
For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. b (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; ^ amazonka-comprehend7Provides information about a key phrases detection job.See: smart constructor. amazonka-comprehend The Amazon Resource Name (ARN) that gives Amazon Comprehend read access
to your input data. amazonka-comprehend6The time that the key phrases detection job completed. amazonka-comprehend The input data configuration that you supplied when you created the key
phrases detection job. amazonka-comprehendThe Amazon Resource Name (ARN) of the key phrases detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::key-phrases-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:key-phrases-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend9The identifier assigned to the key phrases detection job. amazonka-comprehend9The name that you assigned the key phrases detection job. amazonka-comprehend The current status of the key phrases detection job. If the status is
FAILED, the Message( field shows the reason for the failure. amazonka-comprehend)The language code of the input documents. amazonka-comprehend%A description of the status of a job. amazonka-comprehend The output data configuration that you supplied when you created the key
phrases detection job. amazonka-comprehend The time that the key phrases detection job was submitted for
processing. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your key phrases detection
job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) that gives Amazon Comprehend read access
to your input data. , 9 - The time that the key phrases detection job completed. , - The input data configuration that you supplied when you created the key
phrases detection job. , - The Amazon Resource Name (ARN) of the key phrases detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::key-phrases-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:key-phrases-detection-job/1234abcd12ab34cd56ef1234567890ab , < - The identifier assigned to the key phrases detection job. , < - The name that you assigned the key phrases detection job. , - The current status of the key phrases detection job. If the status is
FAILED, the Message( field shows the reason for the failure. , , - The language code of the input documents. , ( - A description of the status of a job. , - The output data configuration that you supplied when you created the key
phrases detection job. , - The time that the key phrases detection job was submitted for
processing. , - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" , - Configuration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your key phrases detection
job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehend The Amazon Resource Name (ARN) that gives Amazon Comprehend read access
to your input data. amazonka-comprehend6The time that the key phrases detection job completed. amazonka-comprehend The input data configuration that you supplied when you created the key
phrases detection job. amazonka-comprehendThe Amazon Resource Name (ARN) of the key phrases detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::key-phrases-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:key-phrases-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend9The identifier assigned to the key phrases detection job. amazonka-comprehend9The name that you assigned the key phrases detection job. amazonka-comprehend The current status of the key phrases detection job. If the status is
FAILED, the Message( field shows the reason for the failure. amazonka-comprehend)The language code of the input documents. amazonka-comprehend%A description of the status of a job. amazonka-comprehend The output data configuration that you supplied when you created the key
phrases detection job. amazonka-comprehend The time that the key phrases detection job was submitted for
processing. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your key phrases detection
job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. c (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; " amazonka-comprehend1Describes information about an entity recognizer.See: smart constructor. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Management (IAM)
role that grants Amazon Comprehend read access to your input data. amazonka-comprehend0The time that the recognizer creation completed. amazonka-comprehend The Amazon Resource Name (ARN) that identifies the entity recognizer. amazonka-comprehend2The input data properties of an entity recognizer. amazonka-comprehend The language of the input documents. All documents must be in the same
language. Only English ("en") is currently supported. amazonka-comprehend.A description of the status of the recognizer. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt trained custom models. The ModelKmsKeyId can be either
of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehend0Provides information about an entity recognizer. amazonka-comprehendThe Amazon Resource Name (ARN) of the source model. This model was
imported from a different AWS account to create the entity recognizer
model in your AWS account. amazonka-comprehend-Provides the status of the entity recognizer. amazonka-comprehend:The time that the recognizer was submitted for processing. amazonka-comprehend>The time that training of the entity recognizer was completed. amazonka-comprehend8The time that training of the entity recognizer started. amazonka-comprehend7The version name you assigned to the entity recognizer. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your custom entity
recognizer. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM)
role that grants Amazon Comprehend read access to your input data. , 3 - The time that the recognizer creation completed. , - The Amazon Resource Name (ARN) that identifies the entity recognizer. , 5 - The input data properties of an entity recognizer. , - The language of the input documents. All documents must be in the same
language. Only English ("en") is currently supported. , 1 - A description of the status of the recognizer. , - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt trained custom models. The ModelKmsKeyId can be either
of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" , 3 - Provides information about an entity recognizer. , - The Amazon Resource Name (ARN) of the source model. This model was
imported from a different AWS account to create the entity recognizer
model in your AWS account. , 0 - Provides the status of the entity recognizer. , = - The time that the recognizer was submitted for processing. , - The time that training of the entity recognizer was completed. , ; - The time that training of the entity recognizer started. , : - The version name you assigned to the entity recognizer. , - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" , - Configuration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your custom entity
recognizer. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Management (IAM)
role that grants Amazon Comprehend read access to your input data. amazonka-comprehend0The time that the recognizer creation completed. amazonka-comprehend The Amazon Resource Name (ARN) that identifies the entity recognizer. amazonka-comprehend2The input data properties of an entity recognizer. amazonka-comprehend The language of the input documents. All documents must be in the same
language. Only English ("en") is currently supported. amazonka-comprehend.A description of the status of the recognizer. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt trained custom models. The ModelKmsKeyId can be either
of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehend0Provides information about an entity recognizer. amazonka-comprehendThe Amazon Resource Name (ARN) of the source model. This model was
imported from a different AWS account to create the entity recognizer
model in your AWS account. amazonka-comprehend-Provides the status of the entity recognizer. amazonka-comprehend:The time that the recognizer was submitted for processing. amazonka-comprehend>The time that training of the entity recognizer was completed. amazonka-comprehend8The time that training of the entity recognizer started. amazonka-comprehend7The version name you assigned to the entity recognizer. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your custom entity
recognizer. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. ## d (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; amazonka-comprehend5Provides information about an entities detection job.See: smart constructor. amazonka-comprehend The Amazon Resource Name (ARN) that gives Amazon Comprehend read access
to your input data. amazonka-comprehend2The time that the entities detection job completed amazonka-comprehend The Amazon Resource Name (ARN) that identifies the entity recognizer. amazonka-comprehend The input data configuration that you supplied when you created the
entities detection job. amazonka-comprehendThe Amazon Resource Name (ARN) of the entities detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::entities-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:entities-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend6The identifier assigned to the entities detection job. amazonka-comprehend6The name that you assigned the entities detection job. amazonka-comprehend The current status of the entities detection job. If the status is
FAILED, the Message( field shows the reason for the failure. amazonka-comprehend)The language code of the input documents. amazonka-comprehend%A description of the status of a job. amazonka-comprehend The output data configuration that you supplied when you created the
entities detection job. amazonka-comprehend The time that the entities detection job was submitted for processing. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your entity detection job.
For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) that gives Amazon Comprehend read access
to your input data. , 5 - The time that the entities detection job completed , - The Amazon Resource Name (ARN) that identifies the entity recognizer. , - The input data configuration that you supplied when you created the
entities detection job. , - The Amazon Resource Name (ARN) of the entities detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::entities-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:entities-detection-job/1234abcd12ab34cd56ef1234567890ab , 9 - The identifier assigned to the entities detection job. , 9 - The name that you assigned the entities detection job. , - The current status of the entities detection job. If the status is
FAILED, the Message( field shows the reason for the failure. , , - The language code of the input documents. , ( - A description of the status of a job. , - The output data configuration that you supplied when you created the
entities detection job. , - The time that the entities detection job was submitted for processing. , - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" , - Configuration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your entity detection job.
For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehend The Amazon Resource Name (ARN) that gives Amazon Comprehend read access
to your input data. amazonka-comprehend2The time that the entities detection job completed amazonka-comprehend The Amazon Resource Name (ARN) that identifies the entity recognizer. amazonka-comprehend The input data configuration that you supplied when you created the
entities detection job. amazonka-comprehendThe Amazon Resource Name (ARN) of the entities detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::entities-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:entities-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend6The identifier assigned to the entities detection job. amazonka-comprehend6The name that you assigned the entities detection job. amazonka-comprehend The current status of the entities detection job. If the status is
FAILED, the Message( field shows the reason for the failure. amazonka-comprehend)The language code of the input documents. amazonka-comprehend%A description of the status of a job. amazonka-comprehend The output data configuration that you supplied when you created the
entities detection job. amazonka-comprehend The time that the entities detection job was submitted for processing. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your entity detection job.
For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. e (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; amazonka-comprehend=Provides information about a dominant language detection job.See: smart constructor. amazonka-comprehend The Amazon Resource Name (ARN) that gives Amazon Comprehend read access
to your input data. amazonka-comprehend:comprehend:::dominant-language-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:dominant-language-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend?The identifier assigned to the dominant language detection job. amazonka-comprehend The name that you assigned to the dominant language detection job. amazonka-comprehend The current status of the dominant language detection job. If the status
is FAILED, the Message( field shows the reason for the failure. amazonka-comprehend&A description for the status of a job. amazonka-comprehend The output data configuration that you supplied when you created the
dominant language detection job. amazonka-comprehend The time that the dominant language detection job was submitted for
processing. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your dominant language
detection job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) that gives Amazon Comprehend read access
to your input data. , ? - The time that the dominant language detection job completed. , - The input data configuration that you supplied when you created the
dominant language detection job. , - The Amazon Resource Name (ARN) of the dominant language detection job.
It is a unique, fully qualified identifier for the job. It includes the
AWS account, Region, and the job ID. The format of the ARN is as
follows: arn::comprehend:::dominant-language-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:dominant-language-detection-job/1234abcd12ab34cd56ef1234567890ab , - The identifier assigned to the dominant language detection job. , - The name that you assigned to the dominant language detection job. , - The current status of the dominant language detection job. If the status
is FAILED, the Message( field shows the reason for the failure. , ) - A description for the status of a job. , - The output data configuration that you supplied when you created the
dominant language detection job. , - The time that the dominant language detection job was submitted for
processing. , - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" , - Configuration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your dominant language
detection job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehend The Amazon Resource Name (ARN) that gives Amazon Comprehend read access
to your input data. amazonka-comprehend:comprehend:::dominant-language-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:dominant-language-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend?The identifier assigned to the dominant language detection job. amazonka-comprehend The name that you assigned to the dominant language detection job. amazonka-comprehend The current status of the dominant language detection job. If the status
is FAILED, the Message( field shows the reason for the failure. amazonka-comprehend&A description for the status of a job. amazonka-comprehend The output data configuration that you supplied when you created the
dominant language detection job. amazonka-comprehend The time that the dominant language detection job was submitted for
processing. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your dominant language
detection job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. f (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; C&& amazonka-comprehend1Provides information about a document classifier.See: smart constructor. amazonka-comprehendInformation about the document classifier, including the number of
documents used for training the classifier, the number of documents used
for test the classifier, and an accuracy rating. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Management (IAM)
role that grants Amazon Comprehend read access to your input data. amazonka-comprehend The Amazon Resource Name (ARN) that identifies the document classifier. amazonka-comprehend9The time that training the document classifier completed. amazonka-comprehend The input data configuration that you supplied when you created the
document classifier for training. amazonka-comprehend The language code for the language of the documents that the classifier
was trained on. amazonka-comprehend:Additional information about the status of the classifier. amazonka-comprehendIndicates the mode in which the specific classifier was trained. This
also indicates the format of input documents and the format of the
confusion matrix. Each classifier can only be trained in one mode and
this cannot be changed once the classifier is trained. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt trained custom models. The ModelKmsKeyId can be either
of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehend Provides output results configuration parameters for custom classifier
jobs. amazonka-comprehendThe Amazon Resource Name (ARN) of the source model. This model was
imported from a different AWS account to create the document classifier
model in your AWS account. amazonka-comprehend8The status of the document classifier. If the status is TRAINED3 the
classifier is ready to use. If the status is FAILED you can see
additional information about why the classifier wasn't trained in the
Message field. amazonka-comprehend The time that the document classifier was submitted for training. amazonka-comprehendThe time that training of the document classifier was completed.
Indicates the time when the training completes on documentation
classifiers. You are billed for the time interval between this time and
the value of TrainingStartTime. amazonka-comprehendIndicates the time when the training starts on documentation
classifiers. You are billed for the time interval between this time and
the value of TrainingEndTime. amazonka-comprehend>The version name that you assigned to the document classifier. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your custom classifier. For
more information, see
https://docs.aws.amazon.com/vppc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - Information about the document classifier, including the number of
documents used for training the classifier, the number of documents used
for test the classifier, and an accuracy rating. , - The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM)
role that grants Amazon Comprehend read access to your input data. , - The Amazon Resource Name (ARN) that identifies the document classifier. , < - The time that training the document classifier completed. , - The input data configuration that you supplied when you created the
document classifier for training. , - The language code for the language of the documents that the classifier
was trained on. , = - Additional information about the status of the classifier. , - Indicates the mode in which the specific classifier was trained. This
also indicates the format of input documents and the format of the
confusion matrix. Each classifier can only be trained in one mode and
this cannot be changed once the classifier is trained. , - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt trained custom models. The ModelKmsKeyId can be either
of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" , - Provides output results configuration parameters for custom classifier
jobs. , - The Amazon Resource Name (ARN) of the source model. This model was
imported from a different AWS account to create the document classifier
model in your AWS account. , ; - The status of the document classifier. If the status is TRAINED3 the
classifier is ready to use. If the status is FAILED you can see
additional information about why the classifier wasn't trained in the
Message field. , - The time that the document classifier was submitted for training. , - The time that training of the document classifier was completed.
Indicates the time when the training completes on documentation
classifiers. You are billed for the time interval between this time and
the value of TrainingStartTime. , - Indicates the time when the training starts on documentation
classifiers. You are billed for the time interval between this time and
the value of TrainingEndTime. , - The version name that you assigned to the document classifier. , - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" , - Configuration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your custom classifier. For
more information, see
https://docs.aws.amazon.com/vppc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehendInformation about the document classifier, including the number of
documents used for training the classifier, the number of documents used
for test the classifier, and an accuracy rating. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Management (IAM)
role that grants Amazon Comprehend read access to your input data. amazonka-comprehend The Amazon Resource Name (ARN) that identifies the document classifier. amazonka-comprehend9The time that training the document classifier completed. amazonka-comprehend The input data configuration that you supplied when you created the
document classifier for training. amazonka-comprehend The language code for the language of the documents that the classifier
was trained on. amazonka-comprehend:Additional information about the status of the classifier. amazonka-comprehendIndicates the mode in which the specific classifier was trained. This
also indicates the format of input documents and the format of the
confusion matrix. Each classifier can only be trained in one mode and
this cannot be changed once the classifier is trained. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt trained custom models. The ModelKmsKeyId can be either
of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehend Provides output results configuration parameters for custom classifier
jobs. amazonka-comprehendThe Amazon Resource Name (ARN) of the source model. This model was
imported from a different AWS account to create the document classifier
model in your AWS account. amazonka-comprehend8The status of the document classifier. If the status is TRAINED3 the
classifier is ready to use. If the status is FAILED you can see
additional information about why the classifier wasn't trained in the
Message field. amazonka-comprehend The time that the document classifier was submitted for training. amazonka-comprehendThe time that training of the document classifier was completed.
Indicates the time when the training completes on documentation
classifiers. You are billed for the time interval between this time and
the value of TrainingStartTime. amazonka-comprehendIndicates the time when the training starts on documentation
classifiers. You are billed for the time interval between this time and
the value of TrainingEndTime. amazonka-comprehend>The version name that you assigned to the document classifier. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your custom classifier. For
more information, see
https://docs.aws.amazon.com/vppc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. '' g (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"%&'; a amazonka-comprehend9Provides information about a document classification job.See: smart constructor. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data. amazonka-comprehend The Amazon Resource Name (ARN) that identifies the document classifier. amazonka-comprehend8The time that the document classification job completed. amazonka-comprehend The input data configuration that you supplied when you created the
document classification job. amazonka-comprehendThe Amazon Resource Name (ARN) of the document classification job. It is
a unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::document-classification-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:document-classification-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend;The identifier assigned to the document classification job. amazonka-comprehend>The name that you assigned to the document classification job. amazonka-comprehend The current status of the document classification job. If the status is
FAILED, the Message( field shows the reason for the failure. amazonka-comprehend'A description of the status of the job. amazonka-comprehend The output data configuration that you supplied when you created the
document classification job. amazonka-comprehend The time that the document classification job was submitted for
processing. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your document classification
job. For more information, see
https://docs.aws.amazon.com/vppc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) of the AWS identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data. , - The Amazon Resource Name (ARN) that identifies the document classifier. , ; - The time that the document classification job completed. , - The input data configuration that you supplied when you created the
document classification job. , - The Amazon Resource Name (ARN) of the document classification job. It is
a unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::document-classification-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:document-classification-job/1234abcd12ab34cd56ef1234567890ab , > - The identifier assigned to the document classification job. , - The name that you assigned to the document classification job. , - The current status of the document classification job. If the status is
FAILED, the Message( field shows the reason for the failure. , * - A description of the status of the job. , - The output data configuration that you supplied when you created the
document classification job. , - The time that the document classification job was submitted for
processing. , - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" , - Configuration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your document classification
job. For more information, see
https://docs.aws.amazon.com/vppc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data. amazonka-comprehend The Amazon Resource Name (ARN) that identifies the document classifier. amazonka-comprehend8The time that the document classification job completed. amazonka-comprehend The input data configuration that you supplied when you created the
document classification job. amazonka-comprehendThe Amazon Resource Name (ARN) of the document classification job. It is
a unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::document-classification-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:document-classification-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend;The identifier assigned to the document classification job. amazonka-comprehend>The name that you assigned to the document classification job. amazonka-comprehend The current status of the document classification job. If the status is
FAILED, the Message( field shows the reason for the failure. amazonka-comprehend'A description of the status of the job. amazonka-comprehend The output data configuration that you supplied when you created the
document classification job. amazonka-comprehend The time that the document classification job was submitted for
processing. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for a private Virtual Private Cloud (VPC)
containing the resources you are using for your document classification
job. For more information, see
https://docs.aws.amazon.com/vppc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. h (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred"% k amazonka-comprehend API version
2017-11-27, of the Amazon Comprehend SDK configuration. amazonka-comprehend The number of documents in the request exceeds the limit of 25. Try your
request again with fewer documents. amazonka-comprehend Concurrent modification of the tags associated with an Amazon Comprehend
resource is not supported. amazonka-comprehend6An internal server error occurred. Retry your request. amazonka-comprehend The filter specified for the operation is invalid. Specify a different
filter. amazonka-comprehendThe request is invalid. amazonka-comprehend The specified job was not found. Check the job ID and try again. amazonka-comprehend The KMS customer managed key (CMK) entered cannot be validated. Verify
the key and re-enter it. amazonka-comprehend The specified resource name is already in use. Use a different name and
try your request again. amazonka-comprehend The maximum number of resources per account has been exceeded. Review
the resources, and then try your request again. amazonka-comprehend The specified resource ARN was not found. Check the ARN and try your
request again. amazonka-comprehend The specified resource is not available. Check the resource and try your
request again. amazonka-comprehend The size of the input text exceeds the limit. Use a smaller document. amazonka-comprehend The number of requests exceeds the limit. Resubmit your request later. amazonka-comprehend The request contains more tag keys than can be associated with a
resource (50 tag keys per resource). amazonka-comprehendThe request contains more tags than can be associated with a resource
(50 tags per resource). The maximum number of tags includes both
existing tags and those included in your current request. amazonka-comprehendAmazon Comprehend can't process the language of the input text. For
custom entity recognition APIs, only English, Spanish, French, Italian,
German, or Portuguese are accepted. For a list of supported languages,
https://docs.aws.amazon.com/comprehend/latest/dg/supported-languages.htmlSupported languages$
in the Comprehend Developer Guide. (,+)*@ACBEDFGHIJRSTUVWXYZbcdgefhijkltuvwxyz{|}~
(,+)*,+
bcdgefhijkl@ACBEDFGHIJRSTUVWXYZtuvwxyz{|}~
i (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&';
amazonka-comprehendSee: smart constructor. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend The Amazon Resource Name (ARN) of the given Amazon Comprehend resource
to which you want to associate the tags. amazonka-comprehendTags being associated with a specific Amazon Comprehend resource. There
can be a maximum of 50 tags (both existing and pending) associated with
a specific resource. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) of the given Amazon Comprehend resource
to which you want to associate the tags. , - Tags being associated with a specific Amazon Comprehend resource. There
can be a maximum of 50 tags (both existing and pending) associated with
a specific resource. amazonka-comprehend The Amazon Resource Name (ARN) of the given Amazon Comprehend resource
to which you want to associate the tags. amazonka-comprehendTags being associated with a specific Amazon Comprehend resource. There
can be a maximum of 50 tags (both existing and pending) associated with
a specific resource. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , # - The response's http status code. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend j (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; F amazonka-comprehendSee: smart constructor. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend The Amazon Resource Name (ARN) that identifies the entity recognizer
currently being trained. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) that identifies the entity recognizer
currently being trained. amazonka-comprehend The Amazon Resource Name (ARN) that identifies the entity recognizer
currently being trained. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , # - The response's http status code. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend
k (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; amazonka-comprehendSee: smart constructor. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend The Amazon Resource Name (ARN) that identifies the document classifier
currently being trained. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) that identifies the document classifier
currently being trained. amazonka-comprehend The Amazon Resource Name (ARN) that identifies the document classifier
currently being trained. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , # - The response's http status code. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend
l (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; U amazonka-comprehendSee: smart constructor. amazonka-comprehend?The identifier of the targeted sentiment detection job to stop. amazonka-comprehendEither STOP_REQUESTED% if the job is currently running, or STOPPED- if
the job was previously stopped with the StopSentimentDetectionJob
operation. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend?The identifier of the targeted sentiment detection job to stop. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The identifier of the targeted sentiment detection job to stop. amazonka-comprehend?The identifier of the targeted sentiment detection job to stop. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The identifier of the targeted sentiment detection job to stop. ,
- Either STOP_REQUESTED% if the job is currently running, or STOPPED- if
the job was previously stopped with the StopSentimentDetectionJob
operation. , # - The response's http status code. amazonka-comprehend?The identifier of the targeted sentiment detection job to stop. amazonka-comprehendEither STOP_REQUESTED% if the job is currently running, or STOPPED- if
the job was previously stopped with the StopSentimentDetectionJob
operation. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend m (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; amazonka-comprehendSee: smart constructor. amazonka-comprehend6The identifier of the sentiment detection job to stop. amazonka-comprehendEither STOP_REQUESTED% if the job is currently running, or STOPPED- if
the job was previously stopped with the StopSentimentDetectionJob
operation. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend6The identifier of the sentiment detection job to stop. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , 9 - The identifier of the sentiment detection job to stop. amazonka-comprehend6The identifier of the sentiment detection job to stop. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , 9 - The identifier of the sentiment detection job to stop. ,
- Either STOP_REQUESTED% if the job is currently running, or STOPPED- if
the job was previously stopped with the StopSentimentDetectionJob
operation. , # - The response's http status code. amazonka-comprehend6The identifier of the sentiment detection job to stop. amazonka-comprehendEither STOP_REQUESTED% if the job is currently running, or STOPPED- if
the job was previously stopped with the StopSentimentDetectionJob
operation. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend n (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; amazonka-comprehendSee: smart constructor. amazonka-comprehend9The identifier of the PII entities detection job to stop. amazonka-comprehend-The status of the PII entities detection job. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend9The identifier of the PII entities detection job to stop. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , < - The identifier of the PII entities detection job to stop. amazonka-comprehend9The identifier of the PII entities detection job to stop. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , < - The identifier of the PII entities detection job to stop. , 0 - The status of the PII entities detection job. , # - The response's http status code. amazonka-comprehend9The identifier of the PII entities detection job to stop. amazonka-comprehend-The status of the PII entities detection job. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend o (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; amazonka-comprehendSee: smart constructor. amazonka-comprehend8The identifier of the key phrases detection job to stop. amazonka-comprehendEither STOP_REQUESTED% if the job is currently running, or STOPPED- if
the job was previously stopped with the StopKeyPhrasesDetectionJob
operation. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend8The identifier of the key phrases detection job to stop. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , ; - The identifier of the key phrases detection job to stop. amazonka-comprehend8The identifier of the key phrases detection job to stop. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , ; - The identifier of the key phrases detection job to stop. ,
- Either STOP_REQUESTED% if the job is currently running, or STOPPED- if
the job was previously stopped with the StopKeyPhrasesDetectionJob
operation. , # - The response's http status code. amazonka-comprehend8The identifier of the key phrases detection job to stop. amazonka-comprehendEither STOP_REQUESTED% if the job is currently running, or STOPPED- if
the job was previously stopped with the StopKeyPhrasesDetectionJob
operation. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend p (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; amazonka-comprehendSee: smart constructor. amazonka-comprehend3The identifier of the events detection job to stop. amazonka-comprehend'The status of the events detection job. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend3The identifier of the events detection job to stop. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , 6 - The identifier of the events detection job to stop. amazonka-comprehend3The identifier of the events detection job to stop. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , 6 - The identifier of the events detection job to stop. , * - The status of the events detection job. , # - The response's http status code. amazonka-comprehend3The identifier of the events detection job to stop. amazonka-comprehend'The status of the events detection job. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend q (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; amazonka-comprehendSee: smart constructor. amazonka-comprehend5The identifier of the entities detection job to stop. amazonka-comprehendEither STOP_REQUESTED% if the job is currently running, or STOPPED- if
the job was previously stopped with the StopEntitiesDetectionJob
operation. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend5The identifier of the entities detection job to stop. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , 8 - The identifier of the entities detection job to stop. amazonka-comprehend5The identifier of the entities detection job to stop. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , 8 - The identifier of the entities detection job to stop. ,
- Either STOP_REQUESTED% if the job is currently running, or STOPPED- if
the job was previously stopped with the StopEntitiesDetectionJob
operation. , # - The response's http status code. amazonka-comprehend5The identifier of the entities detection job to stop. amazonka-comprehendEither STOP_REQUESTED% if the job is currently running, or STOPPED- if
the job was previously stopped with the StopEntitiesDetectionJob
operation. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend r (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; Ԧ amazonka-comprehendSee: smart constructor. amazonka-comprehend>The identifier of the dominant language detection job to stop. amazonka-comprehendEither STOP_REQUESTED% if the job is currently running, or STOPPED. if
the job was previously stopped with the
StopDominantLanguageDetectionJob operation. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend>The identifier of the dominant language detection job to stop. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The identifier of the dominant language detection job to stop. amazonka-comprehend>The identifier of the dominant language detection job to stop. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The identifier of the dominant language detection job to stop. ,
- Either STOP_REQUESTED% if the job is currently running, or STOPPED. if
the job was previously stopped with the
StopDominantLanguageDetectionJob operation. , # - The response's http status code. amazonka-comprehend>The identifier of the dominant language detection job to stop. amazonka-comprehendEither STOP_REQUESTED% if the job is currently running, or STOPPED. if
the job was previously stopped with the
StopDominantLanguageDetectionJob operation. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend s (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; amazonka-comprehendSee: smart constructor. amazonka-comprehendThe Amazon Resource Name (ARN) of the topics detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::topics-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:document-classification-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend The identifier generated for the job. To get the status of the job, use
this identifier with the DescribeTopicDetectionJob operation. amazonka-comprehendThe status of the job: SUBMITTED - The job has been received and is queued for processing.6IN_PROGRESS - Amazon Comprehend is processing the job. COMPLETED - The job was successfully completed and the output is
available. FAILED - The job did not complete. To get details, use the
DescribeTopicDetectionJob operation. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend A unique identifier for the request. If you do not set the client
request token, Amazon Comprehend generates one. amazonka-comprehendThe identifier of the job. amazonka-comprehend The number of topics to detect. amazonka-comprehendTags to be associated with the topics detection job. A tag is a
key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your topic detection
job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehend Specifies the format and location of the input data for the job. amazonka-comprehend Specifies where to send the output files. The output is a compressed
archive with two files, topic-terms.csv7 that lists the terms
associated with each topic, and doc-topics.csv5 that lists the
documents associated with each topic amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data.
For more information, see
https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissions . amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - A unique identifier for the request. If you do not set the client
request token, Amazon Comprehend generates one. , - The identifier of the job. , " - The number of topics to detect. , - Tags to be associated with the topics detection job. A tag is a
key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. , - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" , - Configuration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your topic detection
job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. , - Specifies the format and location of the input data for the job. , - Specifies where to send the output files. The output is a compressed
archive with two files, topic-terms.csv7 that lists the terms
associated with each topic, and doc-topics.csv5 that lists the
documents associated with each topic , - The Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data.
For more information, see
https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissions . amazonka-comprehend A unique identifier for the request. If you do not set the client
request token, Amazon Comprehend generates one. amazonka-comprehendThe identifier of the job. amazonka-comprehend The number of topics to detect. amazonka-comprehendTags to be associated with the topics detection job. A tag is a
key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your topic detection
job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehend Specifies the format and location of the input data for the job. amazonka-comprehend Specifies where to send the output files. The output is a compressed
archive with two files, topic-terms.csv7 that lists the terms
associated with each topic, and doc-topics.csv5 that lists the
documents associated with each topic amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data.
For more information, see
https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissions . amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) of the topics detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::topics-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:document-classification-job/1234abcd12ab34cd56ef1234567890ab , - The identifier generated for the job. To get the status of the job, use
this identifier with the DescribeTopicDetectionJob operation. , - The status of the job: SUBMITTED - The job has been received and is queued for processing.6IN_PROGRESS - Amazon Comprehend is processing the job. COMPLETED - The job was successfully completed and the output is
available. FAILED - The job did not complete. To get details, use the
DescribeTopicDetectionJob operation. , # - The response's http status code. amazonka-comprehendThe Amazon Resource Name (ARN) of the topics detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::topics-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:document-classification-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend The identifier generated for the job. To get the status of the job, use
this identifier with the DescribeTopicDetectionJob operation. amazonka-comprehendThe status of the job: SUBMITTED - The job has been received and is queued for processing.6IN_PROGRESS - Amazon Comprehend is processing the job. COMPLETED - The job was successfully completed and the output is
available. FAILED - The job did not complete. To get details, use the
DescribeTopicDetectionJob operation. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend amazonka-comprehend amazonka-comprehend t (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; amazonka-comprehendSee: smart constructor. amazonka-comprehendThe Amazon Resource Name (ARN) of the targeted sentiment detection job.
It is a unique, fully qualified identifier for the job. It includes the
AWS account, Region, and the job ID. The format of the ARN is as
follows: arn::comprehend:::targeted-sentiment-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:targeted-sentiment-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend The identifier generated for the job. To get the status of a job, use
this identifier with the operation. amazonka-comprehendThe status of the job. SUBMITTED - The job has been received and is queued for processing.6IN_PROGRESS - Amazon Comprehend is processing the job. COMPLETED - The job was successfully completed and the output is
available. FAILED - The job did not complete. To get details, use the
operation. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend A unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one. amazonka-comprehendThe identifier of the job. amazonka-comprehendTags to be associated with the targeted sentiment detection job. A tag
is a key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. amazonka-comprehendID for the KMS key that Amazon Comprehend uses to encrypt data on the
storage volume attached to the ML compute instance(s) that process the
analysis job. The VolumeKmsKeyId can be either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehend)Specifies where to send the output files. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data.
For more information, see
https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissionsRole-based permissions. amazonka-comprehend The language of the input documents. Currently, English is the only
supported language. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - A unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one. , - The identifier of the job. , - Tags to be associated with the targeted sentiment detection job. A tag
is a key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. , - ID for the KMS key that Amazon Comprehend uses to encrypt data on the
storage volume attached to the ML compute instance(s) that process the
analysis job. The VolumeKmsKeyId can be either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" , - Undocumented member. , - Undocumented member. , , - Specifies where to send the output files. , - The Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data.
For more information, see
https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissionsRole-based permissions. , - The language of the input documents. Currently, English is the only
supported language. amazonka-comprehend A unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one. amazonka-comprehendThe identifier of the job. amazonka-comprehendTags to be associated with the targeted sentiment detection job. A tag
is a key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. amazonka-comprehendID for the KMS key that Amazon Comprehend uses to encrypt data on the
storage volume attached to the ML compute instance(s) that process the
analysis job. The VolumeKmsKeyId can be either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendUndocumented member. amazonka-comprehendUndocumented member. amazonka-comprehend)Specifies where to send the output files. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data.
For more information, see
https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissionsRole-based permissions. amazonka-comprehend The language of the input documents. Currently, English is the only
supported language. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) of the targeted sentiment detection job.
It is a unique, fully qualified identifier for the job. It includes the
AWS account, Region, and the job ID. The format of the ARN is as
follows: arn::comprehend:::targeted-sentiment-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:targeted-sentiment-detection-job/1234abcd12ab34cd56ef1234567890ab , - The identifier generated for the job. To get the status of a job, use
this identifier with the operation. , - The status of the job. SUBMITTED - The job has been received and is queued for processing.6IN_PROGRESS - Amazon Comprehend is processing the job. COMPLETED - The job was successfully completed and the output is
available. FAILED - The job did not complete. To get details, use the
operation. , # - The response's http status code. amazonka-comprehendThe Amazon Resource Name (ARN) of the targeted sentiment detection job.
It is a unique, fully qualified identifier for the job. It includes the
AWS account, Region, and the job ID. The format of the ARN is as
follows: arn::comprehend:::targeted-sentiment-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:targeted-sentiment-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend The identifier generated for the job. To get the status of a job, use
this identifier with the operation. amazonka-comprehendThe status of the job. SUBMITTED - The job has been received and is queued for processing.6IN_PROGRESS - Amazon Comprehend is processing the job. COMPLETED - The job was successfully completed and the output is
available. FAILED - The job did not complete. To get details, use the
operation. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend amazonka-comprehend amazonka-comprehend amazonka-comprehend u (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; F amazonka-comprehendSee: smart constructor. amazonka-comprehendThe Amazon Resource Name (ARN) of the sentiment detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::sentiment-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:sentiment-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend The identifier generated for the job. To get the status of a job, use
this identifier with the operation. amazonka-comprehendThe status of the job. SUBMITTED - The job has been received and is queued for processing.6IN_PROGRESS - Amazon Comprehend is processing the job. COMPLETED - The job was successfully completed and the output is
available. FAILED - The job did not complete. To get details, use the
operation. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend A unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one. amazonka-comprehendThe identifier of the job. amazonka-comprehendTags to be associated with the sentiment detection job. A tag is a
key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your sentiment
detection job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehend Specifies the format and location of the input data for the job. amazonka-comprehend)Specifies where to send the output files. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data.
For more information, see
https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissions . amazonka-comprehendThe language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. All documents must be in the
same language. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - A unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one. , - The identifier of the job. , - Tags to be associated with the sentiment detection job. A tag is a
key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. , - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" , - Configuration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your sentiment
detection job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. , - Specifies the format and location of the input data for the job. , , - Specifies where to send the output files. , - The Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data.
For more information, see
https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissions . , - The language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. All documents must be in the
same language. amazonka-comprehend A unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one. amazonka-comprehendThe identifier of the job. amazonka-comprehendTags to be associated with the sentiment detection job. A tag is a
key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your sentiment
detection job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehend Specifies the format and location of the input data for the job. amazonka-comprehend)Specifies where to send the output files. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data.
For more information, see
https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissions . amazonka-comprehendThe language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. All documents must be in the
same language. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) of the sentiment detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::sentiment-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:sentiment-detection-job/1234abcd12ab34cd56ef1234567890ab , - The identifier generated for the job. To get the status of a job, use
this identifier with the operation. , - The status of the job. SUBMITTED - The job has been received and is queued for processing.6IN_PROGRESS - Amazon Comprehend is processing the job. COMPLETED - The job was successfully completed and the output is
available. FAILED - The job did not complete. To get details, use the
operation. , # - The response's http status code. amazonka-comprehendThe Amazon Resource Name (ARN) of the sentiment detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::sentiment-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:sentiment-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend The identifier generated for the job. To get the status of a job, use
this identifier with the operation. amazonka-comprehendThe status of the job. SUBMITTED - The job has been received and is queued for processing.6IN_PROGRESS - Amazon Comprehend is processing the job. COMPLETED - The job was successfully completed and the output is
available. FAILED - The job did not complete. To get details, use the
operation. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend amazonka-comprehend amazonka-comprehend amazonka-comprehend v (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; c amazonka-comprehendSee: smart constructor. amazonka-comprehendThe Amazon Resource Name (ARN) of the PII entity detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::pii-entities-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:pii-entities-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend%The identifier generated for the job. amazonka-comprehendThe status of the job. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend A unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one. amazonka-comprehendThe identifier of the job. amazonka-comprehend;Provides configuration parameters for PII entity redaction.*This parameter is required if you set the Mode parameter to
ONLY_REDACTION#. In that case, you must provide a RedactionConfig
definition that includes the PiiEntityTypes parameter. amazonka-comprehendTags to be associated with the PII entities detection job. A tag is a
key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. amazonka-comprehend6The input properties for a PII entities detection job. amazonka-comprehend Provides conguration parameters for the output of PII entity detection
jobs. amazonka-comprehend Specifies whether the output provides the locations (offsets) of PII
entities or a file in which PII entities are redacted. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data. amazonka-comprehend The language of the input documents. Currently, English is the only
valid language. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - A unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one. , - The identifier of the job. , > - Provides configuration parameters for PII entity redaction.*This parameter is required if you set the Mode parameter to
ONLY_REDACTION#. In that case, you must provide a RedactionConfig
definition that includes the PiiEntityTypes parameter. , - Tags to be associated with the PII entities detection job. A tag is a
key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. , 9 - The input properties for a PII entities detection job. , - Provides conguration parameters for the output of PII entity detection
jobs. , - Specifies whether the output provides the locations (offsets) of PII
entities or a file in which PII entities are redacted. , - The Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data. , - The language of the input documents. Currently, English is the only
valid language. amazonka-comprehend A unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one. amazonka-comprehendThe identifier of the job. amazonka-comprehend;Provides configuration parameters for PII entity redaction.*This parameter is required if you set the Mode parameter to
ONLY_REDACTION#. In that case, you must provide a RedactionConfig
definition that includes the PiiEntityTypes parameter. amazonka-comprehendTags to be associated with the PII entities detection job. A tag is a
key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. amazonka-comprehend6The input properties for a PII entities detection job. amazonka-comprehend Provides conguration parameters for the output of PII entity detection
jobs. amazonka-comprehend Specifies whether the output provides the locations (offsets) of PII
entities or a file in which PII entities are redacted. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data. amazonka-comprehend The language of the input documents. Currently, English is the only
valid language. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) of the PII entity detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::pii-entities-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:pii-entities-detection-job/1234abcd12ab34cd56ef1234567890ab , ( - The identifier generated for the job. , - The status of the job. , # - The response's http status code. amazonka-comprehendThe Amazon Resource Name (ARN) of the PII entity detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::pii-entities-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:pii-entities-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend%The identifier generated for the job. amazonka-comprehendThe status of the job. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend amazonka-comprehend amazonka-comprehend amazonka-comprehend amazonka-comprehend w (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; amazonka-comprehendSee: smart constructor. amazonka-comprehendThe Amazon Resource Name (ARN) of the key phrase detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::key-phrases-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:key-phrases-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend The identifier generated for the job. To get the status of a job, use
this identifier with the operation. amazonka-comprehendThe status of the job. SUBMITTED - The job has been received and is queued for processing.6IN_PROGRESS - Amazon Comprehend is processing the job. COMPLETED - The job was successfully completed and the output is
available. FAILED - The job did not complete. To get details, use the
operation. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend A unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one. amazonka-comprehendThe identifier of the job. amazonka-comprehendTags to be associated with the key phrases detection job. A tag is a
key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your key phrases
detection job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehend Specifies the format and location of the input data for the job. amazonka-comprehend)Specifies where to send the output files. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data.
For more information, see
https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissions . amazonka-comprehendThe language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. All documents must be in the
same language. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - A unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one. , - The identifier of the job. , - Tags to be associated with the key phrases detection job. A tag is a
key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. , - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" , - Configuration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your key phrases
detection job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. , - Specifies the format and location of the input data for the job. , , - Specifies where to send the output files. , - The Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data.
For more information, see
https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissions . , - The language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. All documents must be in the
same language. amazonka-comprehend A unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one. amazonka-comprehendThe identifier of the job. amazonka-comprehendTags to be associated with the key phrases detection job. A tag is a
key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your key phrases
detection job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehend Specifies the format and location of the input data for the job. amazonka-comprehend)Specifies where to send the output files. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data.
For more information, see
https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissions . amazonka-comprehendThe language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. All documents must be in the
same language. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) of the key phrase detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::key-phrases-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:key-phrases-detection-job/1234abcd12ab34cd56ef1234567890ab , - The identifier generated for the job. To get the status of a job, use
this identifier with the operation. , - The status of the job. SUBMITTED - The job has been received and is queued for processing.6IN_PROGRESS - Amazon Comprehend is processing the job. COMPLETED - The job was successfully completed and the output is
available. FAILED - The job did not complete. To get details, use the
operation. , # - The response's http status code. amazonka-comprehendThe Amazon Resource Name (ARN) of the key phrase detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::key-phrases-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:key-phrases-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend The identifier generated for the job. To get the status of a job, use
this identifier with the operation. amazonka-comprehendThe status of the job. SUBMITTED - The job has been received and is queued for processing.6IN_PROGRESS - Amazon Comprehend is processing the job. COMPLETED - The job was successfully completed and the output is
available. FAILED - The job did not complete. To get details, use the
operation. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend amazonka-comprehend amazonka-comprehend amazonka-comprehend x (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; amazonka-comprehendSee: smart constructor. amazonka-comprehendThe Amazon Resource Name (ARN) of the events detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::events-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:events-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend An unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one. amazonka-comprehend'The status of the events detection job. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend An unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one. amazonka-comprehend+The identifier of the events detection job. amazonka-comprehendTags to be associated with the events detection job. A tag is a
key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. amazonka-comprehend Specifies the format and location of the input data for the job. amazonka-comprehend)Specifies where to send the output files. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data. amazonka-comprehend)The language code of the input documents. amazonka-comprehend5The types of events to detect in the input documents. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - An unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one. , . - The identifier of the events detection job. , - Tags to be associated with the events detection job. A tag is a
key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. , - Specifies the format and location of the input data for the job. , , - Specifies where to send the output files. , - The Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data. , , - The language code of the input documents. , 8 - The types of events to detect in the input documents. amazonka-comprehend An unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one. amazonka-comprehend+The identifier of the events detection job. amazonka-comprehendTags to be associated with the events detection job. A tag is a
key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. amazonka-comprehend Specifies the format and location of the input data for the job. amazonka-comprehend)Specifies where to send the output files. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data. amazonka-comprehend)The language code of the input documents. amazonka-comprehend5The types of events to detect in the input documents. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) of the events detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::events-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:events-detection-job/1234abcd12ab34cd56ef1234567890ab , - An unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one. , * - The status of the events detection job. , # - The response's http status code. amazonka-comprehendThe Amazon Resource Name (ARN) of the events detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::events-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:events-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend An unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one. amazonka-comprehend'The status of the events detection job. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend amazonka-comprehend amazonka-comprehend amazonka-comprehend amazonka-comprehend y (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; R amazonka-comprehendSee: smart constructor. amazonka-comprehendThe Amazon Resource Name (ARN) of the entities detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::entities-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:entities-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend The identifier generated for the job. To get the status of job, use this
identifier with the operation. amazonka-comprehendThe status of the job. SUBMITTED - The job has been received and is queued for processing.6IN_PROGRESS - Amazon Comprehend is processing the job. COMPLETED - The job was successfully completed and the output is
available. FAILED - The job did not complete. To get details, use the
operation. STOP_REQUESTED - Amazon Comprehend has received a stop request for
the job and is processing the request.>STOPPED - The job was successfully stopped without completing. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend A unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one. amazonka-comprehend The Amazon Resource Name (ARN) that identifies the specific entity
recognizer to be used by the StartEntitiesDetectionJob . This ARN is
optional and is only used for a custom entity recognition job. amazonka-comprehendThe identifier of the job. amazonka-comprehendTags to be associated with the entities detection job. A tag is a
key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your entity detection
job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehend Specifies the format and location of the input data for the job. amazonka-comprehend)Specifies where to send the output files. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data.
For more information, see
https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissions . amazonka-comprehendThe language of the input documents. All documents must be in the same
language. You can specify any of the languages supported by Amazon
Comprehend. If custom entities recognition is used, this parameter is
ignored and the language used for training the model is used instead. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - A unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one. , - The Amazon Resource Name (ARN) that identifies the specific entity
recognizer to be used by the StartEntitiesDetectionJob . This ARN is
optional and is only used for a custom entity recognition job. , - The identifier of the job. , - Tags to be associated with the entities detection job. A tag is a
key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. , - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" , - Configuration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your entity detection
job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. , - Specifies the format and location of the input data for the job. , , - Specifies where to send the output files. , - The Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data.
For more information, see
https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissions . , - The language of the input documents. All documents must be in the same
language. You can specify any of the languages supported by Amazon
Comprehend. If custom entities recognition is used, this parameter is
ignored and the language used for training the model is used instead. amazonka-comprehend A unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one. amazonka-comprehend The Amazon Resource Name (ARN) that identifies the specific entity
recognizer to be used by the StartEntitiesDetectionJob . This ARN is
optional and is only used for a custom entity recognition job. amazonka-comprehendThe identifier of the job. amazonka-comprehendTags to be associated with the entities detection job. A tag is a
key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your entity detection
job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehend Specifies the format and location of the input data for the job. amazonka-comprehend)Specifies where to send the output files. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data.
For more information, see
https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissions . amazonka-comprehendThe language of the input documents. All documents must be in the same
language. You can specify any of the languages supported by Amazon
Comprehend. If custom entities recognition is used, this parameter is
ignored and the language used for training the model is used instead. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) of the entities detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::entities-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:entities-detection-job/1234abcd12ab34cd56ef1234567890ab , - The identifier generated for the job. To get the status of job, use this
identifier with the operation. , - The status of the job. SUBMITTED - The job has been received and is queued for processing.6IN_PROGRESS - Amazon Comprehend is processing the job. COMPLETED - The job was successfully completed and the output is
available. FAILED - The job did not complete. To get details, use the
operation. STOP_REQUESTED - Amazon Comprehend has received a stop request for
the job and is processing the request.>STOPPED - The job was successfully stopped without completing. , # - The response's http status code. amazonka-comprehendThe Amazon Resource Name (ARN) of the entities detection job. It is a
unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::entities-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:entities-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend The identifier generated for the job. To get the status of job, use this
identifier with the operation. amazonka-comprehendThe status of the job. SUBMITTED - The job has been received and is queued for processing.6IN_PROGRESS - Amazon Comprehend is processing the job. COMPLETED - The job was successfully completed and the output is
available. FAILED - The job did not complete. To get details, use the
operation. STOP_REQUESTED - Amazon Comprehend has received a stop request for
the job and is processing the request.>STOPPED - The job was successfully stopped without completing. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend amazonka-comprehend amazonka-comprehend amazonka-comprehend "" z (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; amazonka-comprehendSee: smart constructor. amazonka-comprehendThe Amazon Resource Name (ARN) of the dominant language detection job.
It is a unique, fully qualified identifier for the job. It includes the
AWS account, Region, and the job ID. The format of the ARN is as
follows: arn::comprehend:::dominant-language-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:dominant-language-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend The identifier generated for the job. To get the status of a job, use
this identifier with the operation. amazonka-comprehendThe status of the job. SUBMITTED - The job has been received and is queued for processing.6IN_PROGRESS - Amazon Comprehend is processing the job. COMPLETED - The job was successfully completed and the output is
available. FAILED - The job did not complete. To get details, use the
operation. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend A unique identifier for the request. If you do not set the client
request token, Amazon Comprehend generates one. amazonka-comprehendAn identifier for the job. amazonka-comprehendTags to be associated with the dominant language detection job. A tag is
a key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your dominant language
detection job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehend Specifies the format and location of the input data for the job. amazonka-comprehend)Specifies where to send the output files. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data.
For more information, see
https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissions . amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - A unique identifier for the request. If you do not set the client
request token, Amazon Comprehend generates one. , - An identifier for the job. , - Tags to be associated with the dominant language detection job. A tag is
a key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. , - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" , - Configuration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your dominant language
detection job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. , - Specifies the format and location of the input data for the job. , , - Specifies where to send the output files. , - The Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data.
For more information, see
https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissions . amazonka-comprehend A unique identifier for the request. If you do not set the client
request token, Amazon Comprehend generates one. amazonka-comprehendAn identifier for the job. amazonka-comprehendTags to be associated with the dominant language detection job. A tag is
a key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your dominant language
detection job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehend Specifies the format and location of the input data for the job. amazonka-comprehend)Specifies where to send the output files. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data.
For more information, see
https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissions . amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) of the dominant language detection job.
It is a unique, fully qualified identifier for the job. It includes the
AWS account, Region, and the job ID. The format of the ARN is as
follows: arn::comprehend:::dominant-language-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:dominant-language-detection-job/1234abcd12ab34cd56ef1234567890ab , - The identifier generated for the job. To get the status of a job, use
this identifier with the operation. , - The status of the job. SUBMITTED - The job has been received and is queued for processing.6IN_PROGRESS - Amazon Comprehend is processing the job. COMPLETED - The job was successfully completed and the output is
available. FAILED - The job did not complete. To get details, use the
operation. , # - The response's http status code. amazonka-comprehendThe Amazon Resource Name (ARN) of the dominant language detection job.
It is a unique, fully qualified identifier for the job. It includes the
AWS account, Region, and the job ID. The format of the ARN is as
follows: arn::comprehend:::dominant-language-detection-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:dominant-language-detection-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend The identifier generated for the job. To get the status of a job, use
this identifier with the operation. amazonka-comprehendThe status of the job. SUBMITTED - The job has been received and is queued for processing.6IN_PROGRESS - Amazon Comprehend is processing the job. COMPLETED - The job was successfully completed and the output is
available. FAILED - The job did not complete. To get details, use the
operation. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend amazonka-comprehend amazonka-comprehend { (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; X amazonka-comprehendSee: smart constructor. amazonka-comprehendThe Amazon Resource Name (ARN) of the document classification job. It is
a unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::document-classification-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:document-classification-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend The identifier generated for the job. To get the status of the job, use
this identifier with the operation. amazonka-comprehendThe status of the job: SUBMITTED - The job has been received and queued for processing.6IN_PROGRESS - Amazon Comprehend is processing the job. COMPLETED - The job was successfully completed and the output is
available. FAILED - The job did not complete. For details, use the operation. STOP_REQUESTED - Amazon Comprehend has received a stop request for
the job and is processing the request.>STOPPED - The job was successfully stopped without completing. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend A unique identifier for the request. If you do not set the client
request token, Amazon Comprehend generates one. amazonka-comprehendThe identifier of the job. amazonka-comprehendTags to be associated with the document classification job. A tag is a
key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your document
classification job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehend The Amazon Resource Name (ARN) of the document classifier to use to
process the job. amazonka-comprehend Specifies the format and location of the input data for the job. amazonka-comprehend)Specifies where to send the output files. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - A unique identifier for the request. If you do not set the client
request token, Amazon Comprehend generates one. , - The identifier of the job. , - Tags to be associated with the document classification job. A tag is a
key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. , - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" , - Configuration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your document
classification job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. , - The Amazon Resource Name (ARN) of the document classifier to use to
process the job. , - Specifies the format and location of the input data for the job. , , - Specifies where to send the output files. , - The Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data. amazonka-comprehend A unique identifier for the request. If you do not set the client
request token, Amazon Comprehend generates one. amazonka-comprehendThe identifier of the job. amazonka-comprehendTags to be associated with the document classification job. A tag is a
key-value pair that adds metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehendConfiguration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your document
classification job. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. amazonka-comprehend The Amazon Resource Name (ARN) of the document classifier to use to
process the job. amazonka-comprehend Specifies the format and location of the input data for the job. amazonka-comprehend)Specifies where to send the output files. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Access Management
(IAM) role that grants Amazon Comprehend read access to your input data. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) of the document classification job. It is
a unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::document-classification-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:document-classification-job/1234abcd12ab34cd56ef1234567890ab , - The identifier generated for the job. To get the status of the job, use
this identifier with the operation. , - The status of the job: SUBMITTED - The job has been received and queued for processing.6IN_PROGRESS - Amazon Comprehend is processing the job. COMPLETED - The job was successfully completed and the output is
available. FAILED - The job did not complete. For details, use the operation. STOP_REQUESTED - Amazon Comprehend has received a stop request for
the job and is processing the request.>STOPPED - The job was successfully stopped without completing. , # - The response's http status code. amazonka-comprehendThe Amazon Resource Name (ARN) of the document classification job. It is
a unique, fully qualified identifier for the job. It includes the AWS
account, Region, and the job ID. The format of the ARN is as follows: arn::comprehend:::document-classification-job/$The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:document-classification-job/1234abcd12ab34cd56ef1234567890ab amazonka-comprehend The identifier generated for the job. To get the status of the job, use
this identifier with the operation. amazonka-comprehendThe status of the job: SUBMITTED - The job has been received and queued for processing.6IN_PROGRESS - Amazon Comprehend is processing the job. COMPLETED - The job was successfully completed and the output is
available. FAILED - The job did not complete. For details, use the operation. STOP_REQUESTED - Amazon Comprehend has received a stop request for
the job and is processing the request.>STOPPED - The job was successfully stopped without completing. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend amazonka-comprehend amazonka-comprehend amazonka-comprehend | (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; 0w amazonka-comprehendSee: smart constructor. amazonka-comprehendThe revision ID of the policy. Each time you modify a policy, Amazon
Comprehend assigns a new revision ID, and it deletes the prior version
of the policy. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehendThe revision ID that Amazon Comprehend assigned to the policy that you
are updating. If you are creating a new policy that has no prior
version, don't use this parameter. Amazon Comprehend creates the
revision ID for you. amazonka-comprehend The Amazon Resource Name (ARN) of the custom model to attach the policy
to. amazonka-comprehendThe JSON resource-based policy to attach to your custom model. Provide
your JSON as a UTF-8 encoded string without line breaks. To provide
valid JSON for your policy, enclose the attribute names and values in
double quotes. If the JSON body is also enclosed in double quotes, then
you must escape the double quotes that are inside the policy: 8"{\"attribute\": \"value\", \"attribute\": [\"value\"]}"To avoid escaping quotes, you can use single quotes to enclose the
policy and double quotes to enclose the JSON names and values: 0'{"attribute": "value", "attribute": ["value"]}' amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The revision ID that Amazon Comprehend assigned to the policy that you
are updating. If you are creating a new policy that has no prior
version, don't use this parameter. Amazon Comprehend creates the
revision ID for you. , - The Amazon Resource Name (ARN) of the custom model to attach the policy
to. , - The JSON resource-based policy to attach to your custom model. Provide
your JSON as a UTF-8 encoded string without line breaks. To provide
valid JSON for your policy, enclose the attribute names and values in
double quotes. If the JSON body is also enclosed in double quotes, then
you must escape the double quotes that are inside the policy: 8"{\"attribute\": \"value\", \"attribute\": [\"value\"]}"To avoid escaping quotes, you can use single quotes to enclose the
policy and double quotes to enclose the JSON names and values: 0'{"attribute": "value", "attribute": ["value"]}' amazonka-comprehendThe revision ID that Amazon Comprehend assigned to the policy that you
are updating. If you are creating a new policy that has no prior
version, don't use this parameter. Amazon Comprehend creates the
revision ID for you. amazonka-comprehend The Amazon Resource Name (ARN) of the custom model to attach the policy
to. amazonka-comprehendThe JSON resource-based policy to attach to your custom model. Provide
your JSON as a UTF-8 encoded string without line breaks. To provide
valid JSON for your policy, enclose the attribute names and values in
double quotes. If the JSON body is also enclosed in double quotes, then
you must escape the double quotes that are inside the policy: 8"{\"attribute\": \"value\", \"attribute\": [\"value\"]}"To avoid escaping quotes, you can use single quotes to enclose the
policy and double quotes to enclose the JSON names and values: 0'{"attribute": "value", "attribute": ["value"]}' amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The revision ID of the policy. Each time you modify a policy, Amazon
Comprehend assigns a new revision ID, and it deletes the prior version
of the policy. , # - The response's http status code. amazonka-comprehendThe revision ID of the policy. Each time you modify a policy, Amazon
Comprehend assigns a new revision ID, and it deletes the prior version
of the policy. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend amazonka-comprehend } (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; ; amazonka-comprehendSee: smart constructor. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend>A list containing the properties of each job that is returned. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehendFilters the jobs that are returned. Jobs can be filtered on their name,
status, or the date and time that they were submitted. You can set only
one filter at a time. amazonka-comprehend The maximum number of results to return in each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - Filters the jobs that are returned. Jobs can be filtered on their name,
status, or the date and time that they were submitted. You can set only
one filter at a time. , - The maximum number of results to return in each page. The default is
100. , 1 - Identifies the next page of results to return. amazonka-comprehendFilters the jobs that are returned. Jobs can be filtered on their name,
status, or the date and time that they were submitted. You can set only
one filter at a time. amazonka-comprehend The maximum number of results to return in each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , 1 - Identifies the next page of results to return. , - A list containing the properties of each job that is returned. , # - The response's http status code. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend>A list containing the properties of each job that is returned. amazonka-comprehend The response's http status code. amazonka-comprehend ~ (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; F amazonka-comprehendSee: smart constructor. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend>A list containing the properties of each job that is returned. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehendFilters the jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. amazonka-comprehend The maximum number of results to return in each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - Filters the jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. , - The maximum number of results to return in each page. The default is
100. , 1 - Identifies the next page of results to return. amazonka-comprehendFilters the jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. amazonka-comprehend The maximum number of results to return in each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , 1 - Identifies the next page of results to return. , - A list containing the properties of each job that is returned. , # - The response's http status code. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend>A list containing the properties of each job that is returned. amazonka-comprehend The response's http status code. amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; R amazonka-comprehendSee: smart constructor. amazonka-comprehend The Amazon Resource Name (ARN) of the given Amazon Comprehend resource
you are querying. amazonka-comprehendTags associated with the Amazon Comprehend resource being queried. A tag
is a key-value pair that adds as a metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend The Amazon Resource Name (ARN) of the given Amazon Comprehend resource
you are querying. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) of the given Amazon Comprehend resource
you are querying. amazonka-comprehend The Amazon Resource Name (ARN) of the given Amazon Comprehend resource
you are querying. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) of the given Amazon Comprehend resource
you are querying. , - Tags associated with the Amazon Comprehend resource being queried. A tag
is a key-value pair that adds as a metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. , # - The response's http status code. amazonka-comprehend The Amazon Resource Name (ARN) of the given Amazon Comprehend resource
you are querying. amazonka-comprehendTags associated with the Amazon Comprehend resource being queried. A tag
is a key-value pair that adds as a metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; ] amazonka-comprehendSee: smart constructor. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend>A list containing the properties of each job that is returned. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehendFilters the jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. amazonka-comprehend The maximum number of results to return in each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - Filters the jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. , - The maximum number of results to return in each page. The default is
100. , 1 - Identifies the next page of results to return. amazonka-comprehendFilters the jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. amazonka-comprehend The maximum number of results to return in each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , 1 - Identifies the next page of results to return. , - A list containing the properties of each job that is returned. , # - The response's http status code. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend>A list containing the properties of each job that is returned. amazonka-comprehend The response's http status code. amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; h amazonka-comprehendSee: smart constructor. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend>A list containing the properties of each job that is returned. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehendFilters the jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. amazonka-comprehend5The maximum number of results to return in each page. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - Filters the jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. , 8 - The maximum number of results to return in each page. , 1 - Identifies the next page of results to return. amazonka-comprehendFilters the jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. amazonka-comprehend5The maximum number of results to return in each page. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , 1 - Identifies the next page of results to return. , - A list containing the properties of each job that is returned. , # - The response's http status code. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend>A list containing the properties of each job that is returned. amazonka-comprehend The response's http status code. amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; t amazonka-comprehendSee: smart constructor. amazonka-comprehend>A list containing the properties of each job that is returned. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehendFilters the jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. amazonka-comprehend The maximum number of results to return in each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - Filters the jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. , - The maximum number of results to return in each page. The default is
100. , 1 - Identifies the next page of results to return. amazonka-comprehendFilters the jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. amazonka-comprehend The maximum number of results to return in each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - A list containing the properties of each job that is returned. , 1 - Identifies the next page of results to return. , # - The response's http status code. amazonka-comprehend>A list containing the properties of each job that is returned. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend The response's http status code. amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; amazonka-comprehendSee: smart constructor. amazonka-comprehend>A list containing the properties of each job that is returned. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehendFilters the jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. amazonka-comprehend5The maximum number of results to return in each page. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - Filters the jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. , 8 - The maximum number of results to return in each page. , 1 - Identifies the next page of results to return. amazonka-comprehendFilters the jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. amazonka-comprehend5The maximum number of results to return in each page. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - A list containing the properties of each job that is returned. , 1 - Identifies the next page of results to return. , # - The response's http status code. amazonka-comprehend>A list containing the properties of each job that is returned. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend The response's http status code. amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; amazonka-comprehendSee: smart constructor. amazonka-comprehend/The list of properties of an entity recognizer. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend9Filters the list of entities returned. You can filter on Status,
SubmitTimeBefore, or SubmitTimeAfter). You can only set one filter at
a time. amazonka-comprehend The maximum number of results to return on each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , < - Filters the list of entities returned. You can filter on Status,
SubmitTimeBefore, or SubmitTimeAfter). You can only set one filter at
a time. , - The maximum number of results to return on each page. The default is
100. , 1 - Identifies the next page of results to return. amazonka-comprehend9Filters the list of entities returned. You can filter on Status,
SubmitTimeBefore, or SubmitTimeAfter). You can only set one filter at
a time. amazonka-comprehend The maximum number of results to return on each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , 2 - The list of properties of an entity recognizer. , 1 - Identifies the next page of results to return. , # - The response's http status code. amazonka-comprehend/The list of properties of an entity recognizer. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend The response's http status code. amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; amazonka-comprehendSee: smart constructor. amazonka-comprehend%The list entity recognizer summaries. amazonka-comprehend%The list entity recognizer summaries. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend The maximum number of results to return on each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The maximum number of results to return on each page. The default is
100. , 1 - Identifies the next page of results to return. amazonka-comprehend The maximum number of results to return on each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , ( - The list entity recognizer summaries. , ( - The list entity recognizer summaries. , # - The response's http status code. amazonka-comprehend%The list entity recognizer summaries. amazonka-comprehend%The list entity recognizer summaries. amazonka-comprehend The response's http status code. amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; amazonka-comprehendSee: smart constructor. amazonka-comprehend>A list containing the properties of each job that is returned. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehendFilters the jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. amazonka-comprehend The maximum number of results to return in each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - Filters the jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. , - The maximum number of results to return in each page. The default is
100. , 1 - Identifies the next page of results to return. amazonka-comprehendFilters the jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. amazonka-comprehend The maximum number of results to return in each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - A list containing the properties of each job that is returned. , 1 - Identifies the next page of results to return. , # - The response's http status code. amazonka-comprehend>A list containing the properties of each job that is returned. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend The response's http status code. amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; amazonka-comprehendSee: smart constructor. amazonka-comprehend Displays a list of endpoint properties being retrieved by the service in
response to the request. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehendFilters the endpoints that are returned. You can filter endpoints on
their name, model, status, or the date and time that they were created.
You can only set one filter at a time. amazonka-comprehend The maximum number of results to return in each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - Filters the endpoints that are returned. You can filter endpoints on
their name, model, status, or the date and time that they were created.
You can only set one filter at a time. , - The maximum number of results to return in each page. The default is
100. , 1 - Identifies the next page of results to return. amazonka-comprehendFilters the endpoints that are returned. You can filter endpoints on
their name, model, status, or the date and time that they were created.
You can only set one filter at a time. amazonka-comprehend The maximum number of results to return in each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - Displays a list of endpoint properties being retrieved by the service in
response to the request. , 1 - Identifies the next page of results to return. , # - The response's http status code. amazonka-comprehend Displays a list of endpoint properties being retrieved by the service in
response to the request. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend The response's http status code. amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; & amazonka-comprehendSee: smart constructor. amazonka-comprehend>A list containing the properties of each job that is returned. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehendFilters that jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. amazonka-comprehend The maximum number of results to return in each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - Filters that jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. , - The maximum number of results to return in each page. The default is
100. , 1 - Identifies the next page of results to return. amazonka-comprehendFilters that jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. amazonka-comprehend The maximum number of results to return in each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - A list containing the properties of each job that is returned. , 1 - Identifies the next page of results to return. , # - The response's http status code. amazonka-comprehend>A list containing the properties of each job that is returned. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend The response's http status code. amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; T amazonka-comprehendSee: smart constructor. amazonka-comprehend6A list containing the properties of each job returned. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehendFilters the jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. amazonka-comprehend The maximum number of results to return in each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - Filters the jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. , - The maximum number of results to return in each page. The default is
100. , 1 - Identifies the next page of results to return. amazonka-comprehendFilters the jobs that are returned. You can filter jobs on their name,
status, or the date and time that they were submitted. You can only set
one filter at a time. amazonka-comprehend The maximum number of results to return in each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , 9 - A list containing the properties of each job returned. , 1 - Identifies the next page of results to return. , # - The response's http status code. amazonka-comprehend6A list containing the properties of each job returned. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend The response's http status code. amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; ) amazonka-comprehendSee: smart constructor. amazonka-comprehend.The list of summaries of document classifiers. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend The maximum number of results to return on each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The maximum number of results to return on each page. The default is
100. , 1 - Identifies the next page of results to return. amazonka-comprehend The maximum number of results to return on each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , 1 - The list of summaries of document classifiers. , 1 - Identifies the next page of results to return. , # - The response's http status code. amazonka-comprehend.The list of summaries of document classifiers. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend The response's http status code. amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; R amazonka-comprehendSee: smart constructor. amazonka-comprehend6A list containing the properties of each job returned. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehendFilters the jobs that are returned. You can filter jobs on their names,
status, or the date and time that they were submitted. You can only set
one filter at a time. amazonka-comprehend The maximum number of results to return in each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - Filters the jobs that are returned. You can filter jobs on their names,
status, or the date and time that they were submitted. You can only set
one filter at a time. , - The maximum number of results to return in each page. The default is
100. , 1 - Identifies the next page of results to return. amazonka-comprehendFilters the jobs that are returned. You can filter jobs on their names,
status, or the date and time that they were submitted. You can only set
one filter at a time. amazonka-comprehend The maximum number of results to return in each page. The default is
100. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , 9 - A list containing the properties of each job returned. , 1 - Identifies the next page of results to return. , # - The response's http status code. amazonka-comprehend6A list containing the properties of each job returned. amazonka-comprehend.Identifies the next page of results to return. amazonka-comprehend The response's http status code. amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; amazonka-comprehendSee: smart constructor. amazonka-comprehend The Amazon Resource Name (ARN) of the custom model being imported. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Management (IAM)
role that allows Amazon Comprehend to use Amazon Key Management Service
(KMS) to encrypt or decrypt the custom model. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt trained custom models. The ModelKmsKeyId can be either
of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehend The name to assign to the custom model that is created in Amazon
Comprehend by this import. amazonka-comprehendTags to be associated with the custom model that is created by this
import. A tag is a key-value pair that adds as a metadata to a resource
used by Amazon Comprehend. For example, a tag with "Sales" as the key
might be added to a resource to indicate its use by the sales
department. amazonka-comprehendThe version name given to the custom model that is created by this
import. Version names can have a maximum of 256 characters. Alphanumeric
characters, hyphens (-) and underscores (_) are allowed. The version
name must be unique among all models with the same classifier name in
the account/AWS Region. amazonka-comprehend=The Amazon Resource Name (ARN) of the custom model to import. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM)
role that allows Amazon Comprehend to use Amazon Key Management Service
(KMS) to encrypt or decrypt the custom model. , - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt trained custom models. The ModelKmsKeyId can be either
of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" , - The name to assign to the custom model that is created in Amazon
Comprehend by this import. , - Tags to be associated with the custom model that is created by this
import. A tag is a key-value pair that adds as a metadata to a resource
used by Amazon Comprehend. For example, a tag with "Sales" as the key
might be added to a resource to indicate its use by the sales
department. , - The version name given to the custom model that is created by this
import. Version names can have a maximum of 256 characters. Alphanumeric
characters, hyphens (-) and underscores (_) are allowed. The version
name must be unique among all models with the same classifier name in
the account/AWS Region. , - The Amazon Resource Name (ARN) of the custom model to import. amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Management (IAM)
role that allows Amazon Comprehend to use Amazon Key Management Service
(KMS) to encrypt or decrypt the custom model. amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt trained custom models. The ModelKmsKeyId can be either
of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" amazonka-comprehend The name to assign to the custom model that is created in Amazon
Comprehend by this import. amazonka-comprehendTags to be associated with the custom model that is created by this
import. A tag is a key-value pair that adds as a metadata to a resource
used by Amazon Comprehend. For example, a tag with "Sales" as the key
might be added to a resource to indicate its use by the sales
department. amazonka-comprehendThe version name given to the custom model that is created by this
import. Version names can have a maximum of 256 characters. Alphanumeric
characters, hyphens (-) and underscores (_) are allowed. The version
name must be unique among all models with the same classifier name in
the account/AWS Region. amazonka-comprehend=The Amazon Resource Name (ARN) of the custom model to import. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) of the custom model being imported. , # - The response's http status code. amazonka-comprehend The Amazon Resource Name (ARN) of the custom model being imported. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; amazonka-comprehendSee: smart constructor. amazonka-comprehend Targeted sentiment analysis for each of the entities identified in the
input text. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend7A UTF-8 text string. The maximum string length is 5 KB. amazonka-comprehend The language of the input documents. Currently, English is the only
supported language. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , : - A UTF-8 text string. The maximum string length is 5 KB. , - The language of the input documents. Currently, English is the only
supported language. amazonka-comprehend7A UTF-8 text string. The maximum string length is 5 KB. amazonka-comprehend The language of the input documents. Currently, English is the only
supported language. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - Targeted sentiment analysis for each of the entities identified in the
input text. , # - The response's http status code. amazonka-comprehend Targeted sentiment analysis for each of the entities identified in the
input text. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; amazonka-comprehendSee: smart constructor. amazonka-comprehendA collection of syntax tokens describing the text. For each token, the
response provides the text, the token type, where the text begins and
ends, and the level of confidence that Amazon Comprehend has that the
token is correct. For a list of token types, see
https://docs.aws.amazon.com/comprehend/latest/dg/how-syntax.htmlSyntax$
in the Comprehend Developer Guide. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend0A UTF-8 string. The maximum string size is 5 KB. amazonka-comprehendThe language code of the input documents. You can specify any of the
following languages supported by Amazon Comprehend: German ("de"),
English ("en"), Spanish ("es"), French ("fr"), Italian ("it"),
or Portuguese ("pt"). amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , 3 - A UTF-8 string. The maximum string size is 5 KB. , - The language code of the input documents. You can specify any of the
following languages supported by Amazon Comprehend: German ("de"),
English ("en"), Spanish ("es"), French ("fr"), Italian ("it"),
or Portuguese ("pt"). amazonka-comprehend0A UTF-8 string. The maximum string size is 5 KB. amazonka-comprehendThe language code of the input documents. You can specify any of the
following languages supported by Amazon Comprehend: German ("de"),
English ("en"), Spanish ("es"), French ("fr"), Italian ("it"),
or Portuguese ("pt"). amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - A collection of syntax tokens describing the text. For each token, the
response provides the text, the token type, where the text begins and
ends, and the level of confidence that Amazon Comprehend has that the
token is correct. For a list of token types, see
https://docs.aws.amazon.com/comprehend/latest/dg/how-syntax.htmlSyntax$
in the Comprehend Developer Guide. , # - The response's http status code. amazonka-comprehendA collection of syntax tokens describing the text. For each token, the
response provides the text, the token type, where the text begins and
ends, and the level of confidence that Amazon Comprehend has that the
token is correct. For a list of token types, see
https://docs.aws.amazon.com/comprehend/latest/dg/how-syntax.htmlSyntax$
in the Comprehend Developer Guide. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; Z amazonka-comprehendSee: smart constructor. amazonka-comprehend The inferred sentiment that Amazon Comprehend has the highest level of
confidence in. amazonka-comprehend An object that lists the sentiments, and their corresponding confidence
levels. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend5A UTF-8 text string. The maximum string size is 5 KB.Amazon Comprehend performs real-time sentiment analysis on the first 500
characters of the input text and ignores any additional text in the
input. amazonka-comprehendThe language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. All documents must be in the
same language. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , 8 - A UTF-8 text string. The maximum string size is 5 KB.Amazon Comprehend performs real-time sentiment analysis on the first 500
characters of the input text and ignores any additional text in the
input. , - The language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. All documents must be in the
same language. amazonka-comprehend5A UTF-8 text string. The maximum string size is 5 KB.Amazon Comprehend performs real-time sentiment analysis on the first 500
characters of the input text and ignores any additional text in the
input. amazonka-comprehendThe language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. All documents must be in the
same language. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The inferred sentiment that Amazon Comprehend has the highest level of
confidence in. , - An object that lists the sentiments, and their corresponding confidence
levels. , # - The response's http status code. amazonka-comprehend The inferred sentiment that Amazon Comprehend has the highest level of
confidence in. amazonka-comprehend An object that lists the sentiments, and their corresponding confidence
levels. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; amazonka-comprehendSee: smart constructor. amazonka-comprehendA collection of PII entities identified in the input text. For each
entity, the response provides the entity type, where the entity text
begins and ends, and the level of confidence that Amazon Comprehend has
in the detection. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend7A UTF-8 text string. The maximum string size is 100 KB. amazonka-comprehend The language of the input documents. Currently, English is the only
valid language. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , : - A UTF-8 text string. The maximum string size is 100 KB. , - The language of the input documents. Currently, English is the only
valid language. amazonka-comprehend7A UTF-8 text string. The maximum string size is 100 KB. amazonka-comprehend The language of the input documents. Currently, English is the only
valid language. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - A collection of PII entities identified in the input text. For each
entity, the response provides the entity type, where the entity text
begins and ends, and the level of confidence that Amazon Comprehend has
in the detection. , # - The response's http status code. amazonka-comprehendA collection of PII entities identified in the input text. For each
entity, the response provides the entity type, where the entity text
begins and ends, and the level of confidence that Amazon Comprehend has
in the detection. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; &d amazonka-comprehendSee: smart constructor. amazonka-comprehendA collection of key phrases that Amazon Comprehend identified in the
input text. For each key phrase, the response provides the text of the
key phrase, where the key phrase begins and ends, and the level of
confidence that Amazon Comprehend has in the accuracy of the detection. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend A UTF-8 text string. The string must contain less than 100 KB of UTF-8
encoded characters. amazonka-comprehendThe language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. All documents must be in the
same language. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - A UTF-8 text string. The string must contain less than 100 KB of UTF-8
encoded characters. , - The language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. All documents must be in the
same language. amazonka-comprehend A UTF-8 text string. The string must contain less than 100 KB of UTF-8
encoded characters. amazonka-comprehendThe language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. All documents must be in the
same language. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - A collection of key phrases that Amazon Comprehend identified in the
input text. For each key phrase, the response provides the text of the
key phrase, where the key phrase begins and ends, and the level of
confidence that Amazon Comprehend has in the accuracy of the detection. , # - The response's http status code. amazonka-comprehendA collection of key phrases that Amazon Comprehend identified in the
input text. For each key phrase, the response provides the text of the
key phrase, where the key phrase begins and ends, and the level of
confidence that Amazon Comprehend has in the accuracy of the detection. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; [Q amazonka-comprehendSee: smart constructor. amazonka-comprehendInformation about each block of text in the input document. Blocks are
nested. A page block contains a block for each line of text, which
contains a block for each word.The Block7 content for a Word input document does not include a
Geometry field.The Block< field is not present in the response for plain-text inputs. amazonka-comprehendInformation about the document, discovered during text extraction. This
field is present in the response only if your request used the Byte
parameter. amazonka-comprehend The document type for each page in the input document. This field is
present in the response only if your request used the Byte parameter. amazonka-comprehendA collection of entities identified in the input text. For each entity,
the response provides the entity text, entity type, where the entity
text begins and ends, and the level of confidence that Amazon Comprehend
has in the detection.If your request uses a custom entity recognition model, Amazon
Comprehend detects the entities that the model is trained to recognize.
Otherwise, it detects the default entity types. For a list of default
entity types, see
https://docs.aws.amazon.com/comprehend/latest/dg/how-entities.htmlEntities$
in the Comprehend Developer Guide. amazonka-comprehendPage-level errors that the system detected while processing the input
document. The field is empty if the system encountered no errors. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehendThis field applies only when you use a custom entity recognition model
that was trained with PDF annotations. For other cases, enter your text
input in the Text field.Use the Bytes parameter to input a text, PDF, Word or image file.
Using a plain-text file in the Bytes' parameter is equivelent to using
the Text parameter (the Entities& field in the response is
identical).You can also use the Bytes( parameter to input an Amazon Textract
DetectDocumentText or AnalyzeDocument
output file.Provide the input document as a sequence of base64-encoded bytes. If
your code uses an Amazon Web Services SDK to detect entities, the SDK
may encode the document file bytes for you. The maximum length of this field depends on the input document type. For
details, see
https://docs.aws.amazon.com/comprehend/latest/dg/idp-inputs-sync.html$Inputs for real-time custom analysis$
in the Comprehend Developer Guide.If you use the Bytes parameter, do not use the Text parameter. amazonka-comprehend Provides configuration parameters to override the default actions for
extracting text from PDF documents and image files. amazonka-comprehendThe Amazon Resource Name of an endpoint that is associated with a custom
entity recognition model. Provide an endpoint if you want to detect
entities by using your own custom model instead of the default model
that is used by Amazon Comprehend.If you specify an endpoint, Amazon Comprehend uses the language of your
custom model, and it ignores any language code that you provide in your
request.&For information about endpoints, see
https://docs.aws.amazon.com/comprehend/latest/dg/manage-endpoints.htmlManaging endpoints. amazonka-comprehendThe language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. If your request includes the
endpoint for a custom entity recognition model, Amazon Comprehend uses
the language of your custom model, and it ignores any language code that
you specify here.1All input documents must be in the same language. amazonka-comprehend A UTF-8 text string. The maximum string size is 100 KB. If you enter
text using this parameter, do not use the Bytes parameter. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - This field applies only when you use a custom entity recognition model
that was trained with PDF annotations. For other cases, enter your text
input in the Text field.Use the Bytes parameter to input a text, PDF, Word or image file.
Using a plain-text file in the Bytes' parameter is equivelent to using
the Text parameter (the Entities& field in the response is
identical).You can also use the Bytes( parameter to input an Amazon Textract
DetectDocumentText or AnalyzeDocument
output file.Provide the input document as a sequence of base64-encoded bytes. If
your code uses an Amazon Web Services SDK to detect entities, the SDK
may encode the document file bytes for you. The maximum length of this field depends on the input document type. For
details, see
https://docs.aws.amazon.com/comprehend/latest/dg/idp-inputs-sync.html$Inputs for real-time custom analysis$
in the Comprehend Developer Guide.If you use the Bytes parameter, do not use the Text parameter.--
-- Note: This Lens automatically encodes and decodes Base64 data.
-- The underlying isomorphism will encode to Base64 representation during
-- serialisation, and decode from Base64 representation during deserialisation.
-- This Lens- accepts and returns only raw unencoded data. , - Provides configuration parameters to override the default actions for
extracting text from PDF documents and image files. , - The Amazon Resource Name of an endpoint that is associated with a custom
entity recognition model. Provide an endpoint if you want to detect
entities by using your own custom model instead of the default model
that is used by Amazon Comprehend.If you specify an endpoint, Amazon Comprehend uses the language of your
custom model, and it ignores any language code that you provide in your
request.&For information about endpoints, see
https://docs.aws.amazon.com/comprehend/latest/dg/manage-endpoints.htmlManaging endpoints. , - The language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. If your request includes the
endpoint for a custom entity recognition model, Amazon Comprehend uses
the language of your custom model, and it ignores any language code that
you specify here.1All input documents must be in the same language. , - A UTF-8 text string. The maximum string size is 100 KB. If you enter
text using this parameter, do not use the Bytes parameter. amazonka-comprehendThis field applies only when you use a custom entity recognition model
that was trained with PDF annotations. For other cases, enter your text
input in the Text field.Use the Bytes parameter to input a text, PDF, Word or image file.
Using a plain-text file in the Bytes' parameter is equivelent to using
the Text parameter (the Entities& field in the response is
identical).You can also use the Bytes( parameter to input an Amazon Textract
DetectDocumentText or AnalyzeDocument
output file.Provide the input document as a sequence of base64-encoded bytes. If
your code uses an Amazon Web Services SDK to detect entities, the SDK
may encode the document file bytes for you. The maximum length of this field depends on the input document type. For
details, see
https://docs.aws.amazon.com/comprehend/latest/dg/idp-inputs-sync.html$Inputs for real-time custom analysis$
in the Comprehend Developer Guide.If you use the Bytes parameter, do not use the Text parameter.--
-- Note: This Lens automatically encodes and decodes Base64 data.
-- The underlying isomorphism will encode to Base64 representation during
-- serialisation, and decode from Base64 representation during deserialisation.
-- This Lens- accepts and returns only raw unencoded data. amazonka-comprehend Provides configuration parameters to override the default actions for
extracting text from PDF documents and image files. amazonka-comprehendThe Amazon Resource Name of an endpoint that is associated with a custom
entity recognition model. Provide an endpoint if you want to detect
entities by using your own custom model instead of the default model
that is used by Amazon Comprehend.If you specify an endpoint, Amazon Comprehend uses the language of your
custom model, and it ignores any language code that you provide in your
request.&For information about endpoints, see
https://docs.aws.amazon.com/comprehend/latest/dg/manage-endpoints.htmlManaging endpoints. amazonka-comprehendThe language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. If your request includes the
endpoint for a custom entity recognition model, Amazon Comprehend uses
the language of your custom model, and it ignores any language code that
you specify here.1All input documents must be in the same language. amazonka-comprehend A UTF-8 text string. The maximum string size is 100 KB. If you enter
text using this parameter, do not use the Bytes parameter. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - Information about each block of text in the input document. Blocks are
nested. A page block contains a block for each line of text, which
contains a block for each word.The Block7 content for a Word input document does not include a
Geometry field.The Block< field is not present in the response for plain-text inputs. , - Information about the document, discovered during text extraction. This
field is present in the response only if your request used the Byte
parameter. , - The document type for each page in the input document. This field is
present in the response only if your request used the Byte parameter. , - A collection of entities identified in the input text. For each entity,
the response provides the entity text, entity type, where the entity
text begins and ends, and the level of confidence that Amazon Comprehend
has in the detection.If your request uses a custom entity recognition model, Amazon
Comprehend detects the entities that the model is trained to recognize.
Otherwise, it detects the default entity types. For a list of default
entity types, see
https://docs.aws.amazon.com/comprehend/latest/dg/how-entities.htmlEntities$
in the Comprehend Developer Guide. , - Page-level errors that the system detected while processing the input
document. The field is empty if the system encountered no errors. , # - The response's http status code. amazonka-comprehendInformation about each block of text in the input document. Blocks are
nested. A page block contains a block for each line of text, which
contains a block for each word.The Block7 content for a Word input document does not include a
Geometry field.The Block< field is not present in the response for plain-text inputs. amazonka-comprehendInformation about the document, discovered during text extraction. This
field is present in the response only if your request used the Byte
parameter. amazonka-comprehend The document type for each page in the input document. This field is
present in the response only if your request used the Byte parameter. amazonka-comprehendA collection of entities identified in the input text. For each entity,
the response provides the entity text, entity type, where the entity
text begins and ends, and the level of confidence that Amazon Comprehend
has in the detection.If your request uses a custom entity recognition model, Amazon
Comprehend detects the entities that the model is trained to recognize.
Otherwise, it detects the default entity types. For a list of default
entity types, see
https://docs.aws.amazon.com/comprehend/latest/dg/how-entities.htmlEntities$
in the Comprehend Developer Guide. amazonka-comprehendPage-level errors that the system detected while processing the input
document. The field is empty if the system encountered no errors. amazonka-comprehend The response's http status code. amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; f
amazonka-comprehendSee: smart constructor. amazonka-comprehendThe languages that Amazon Comprehend detected in the input text. For
each language, the response returns the RFC 5646 language code and the
level of confidence that Amazon Comprehend has in the accuracy of its
inference. For more information about RFC 5646, see
#https://tools.ietf.org/html/rfc5646 Tags for Identifying Languages on
the
IETF Tools
web site. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend A UTF-8 text string. The string must contain at least 20 characters. The
maximum string size is 100 KB. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - A UTF-8 text string. The string must contain at least 20 characters. The
maximum string size is 100 KB. amazonka-comprehend A UTF-8 text string. The string must contain at least 20 characters. The
maximum string size is 100 KB. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The languages that Amazon Comprehend detected in the input text. For
each language, the response returns the RFC 5646 language code and the
level of confidence that Amazon Comprehend has in the accuracy of its
inference. For more information about RFC 5646, see
#https://tools.ietf.org/html/rfc5646 Tags for Identifying Languages on
the
IETF Tools
web site. , # - The response's http status code. amazonka-comprehendThe languages that Amazon Comprehend detected in the input text. For
each language, the response returns the RFC 5646 language code and the
level of confidence that Amazon Comprehend has in the accuracy of its
inference. For more information about RFC 5646, see
#https://tools.ietf.org/html/rfc5646 Tags for Identifying Languages on
the
IETF Tools
web site. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; m
amazonka-comprehendSee: smart constructor. amazonka-comprehend-The list of properties for the requested job. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend9The identifier assigned by the user to the detection job. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , < - The identifier assigned by the user to the detection job. amazonka-comprehend9The identifier assigned by the user to the detection job. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , 0 - The list of properties for the requested job. , # - The response's http status code. amazonka-comprehend-The list of properties for the requested job. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; v+
amazonka-comprehendSee: smart constructor. amazonka-comprehend An object that contains the properties associated with a targeted
sentiment detection job. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend The identifier that Amazon Comprehend generated for the job. The
operation returns this identifier in its response. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The identifier that Amazon Comprehend generated for the job. The
operation returns this identifier in its response. amazonka-comprehend The identifier that Amazon Comprehend generated for the job. The
operation returns this identifier in its response. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - An object that contains the properties associated with a targeted
sentiment detection job. , # - The response's http status code. amazonka-comprehend An object that contains the properties associated with a targeted
sentiment detection job. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; ~H
amazonka-comprehendSee: smart constructor. amazonka-comprehend An object that contains the properties associated with a sentiment
detection job. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend The identifier that Amazon Comprehend generated for the job. The
operation returns this identifier in its response. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The identifier that Amazon Comprehend generated for the job. The
operation returns this identifier in its response. amazonka-comprehend The identifier that Amazon Comprehend generated for the job. The
operation returns this identifier in its response. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - An object that contains the properties associated with a sentiment
detection job. , # - The response's http status code. amazonka-comprehend An object that contains the properties associated with a sentiment
detection job. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; _ amazonka-comprehendSee: smart constructor. amazonka-comprehend)The time at which the policy was created. amazonka-comprehend/The time at which the policy was last modified. amazonka-comprehendThe revision ID of the policy. Each time you modify a policy, Amazon
Comprehend assigns a new revision ID, and it deletes the prior version
of the policy. amazonka-comprehend+The JSON body of the resource-based policy. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend The Amazon Resource Name (ARN) of the custom model version that has the
resource policy. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) of the custom model version that has the
resource policy. amazonka-comprehend The Amazon Resource Name (ARN) of the custom model version that has the
resource policy. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , , - The time at which the policy was created. , 2 - The time at which the policy was last modified. , - The revision ID of the policy. Each time you modify a policy, Amazon
Comprehend assigns a new revision ID, and it deletes the prior version
of the policy. , . - The JSON body of the resource-based policy. , # - The response's http status code. amazonka-comprehend)The time at which the policy was created. amazonka-comprehend/The time at which the policy was last modified. amazonka-comprehendThe revision ID of the policy. Each time you modify a policy, Amazon
Comprehend assigns a new revision ID, and it deletes the prior version
of the policy. amazonka-comprehend+The JSON body of the resource-based policy. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; amazonka-comprehendSee: smart constructor. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend The identifier that Amazon Comprehend generated for the job. The
operation returns this identifier in its response. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The identifier that Amazon Comprehend generated for the job. The
operation returns this identifier in its response. amazonka-comprehend The identifier that Amazon Comprehend generated for the job. The
operation returns this identifier in its response. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - Undocumented member. , # - The response's http status code. amazonka-comprehendUndocumented member. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&';
amazonka-comprehendSee: smart constructor. amazonka-comprehend An object that contains the properties associated with a key phrases
detection job. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend The identifier that Amazon Comprehend generated for the job. The
operation returns this identifier in its response. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The identifier that Amazon Comprehend generated for the job. The
operation returns this identifier in its response. amazonka-comprehend The identifier that Amazon Comprehend generated for the job. The
operation returns this identifier in its response. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - An object that contains the properties associated with a key phrases
detection job. , # - The response's http status code. amazonka-comprehend An object that contains the properties associated with a key phrases
detection job. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&';
amazonka-comprehendSee: smart constructor. amazonka-comprehend An object that contains the properties associated with an event
detection job. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend+The identifier of the events detection job. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , . - The identifier of the events detection job. amazonka-comprehend+The identifier of the events detection job. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - An object that contains the properties associated with an event
detection job. , # - The response's http status code. amazonka-comprehend An object that contains the properties associated with an event
detection job. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; I
amazonka-comprehendSee: smart constructor. amazonka-comprehend;Describes information associated with an entity recognizer. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend The Amazon Resource Name (ARN) that identifies the entity recognizer. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) that identifies the entity recognizer. amazonka-comprehend The Amazon Resource Name (ARN) that identifies the entity recognizer. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , > - Describes information associated with an entity recognizer. , # - The response's http status code. amazonka-comprehend;Describes information associated with an entity recognizer. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; f
amazonka-comprehendSee: smart constructor. amazonka-comprehend An object that contains the properties associated with an entities
detection job. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend The identifier that Amazon Comprehend generated for the job. The
operation returns this identifier in its response. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The identifier that Amazon Comprehend generated for the job. The
operation returns this identifier in its response. amazonka-comprehend The identifier that Amazon Comprehend generated for the job. The
operation returns this identifier in its response. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - An object that contains the properties associated with an entities
detection job. , # - The response's http status code. amazonka-comprehend An object that contains the properties associated with an entities
detection job. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&';
amazonka-comprehendSee: smart constructor. amazonka-comprehend
amazonka-comprehendSee: smart constructor. amazonka-comprehend An object that describes the properties associated with the document
classification job. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend The identifier that Amazon Comprehend generated for the job. The
operation returns this identifier in its response. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The identifier that Amazon Comprehend generated for the job. The
operation returns this identifier in its response. amazonka-comprehend The identifier that Amazon Comprehend generated for the job. The
operation returns this identifier in its response. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - An object that describes the properties associated with the document
classification job. , # - The response's http status code. amazonka-comprehend An object that describes the properties associated with the document
classification job. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&';
amazonka-comprehendSee: smart constructor. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend(The revision ID of the policy to delete. amazonka-comprehend The Amazon Resource Name (ARN) of the custom model version that has the
policy to delete. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , + - The revision ID of the policy to delete. , - The Amazon Resource Name (ARN) of the custom model version that has the
policy to delete. amazonka-comprehend(The revision ID of the policy to delete. amazonka-comprehend The Amazon Resource Name (ARN) of the custom model version that has the
policy to delete. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , # - The response's http status code. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; amazonka-comprehendSee: smart constructor. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend The Amazon Resource Name (ARN) that identifies the entity recognizer. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Name (ARN) that identifies the entity recognizer. amazonka-comprehend The Amazon Resource Name (ARN) that identifies the entity recognizer. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , # - The response's http status code. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend
(c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; amazonka-comprehendSee: smart constructor. amazonka-comprehend The response's http status code. amazonka-comprehendSee: smart constructor. amazonka-comprehend?The Amazon Resource Number (ARN) of the endpoint being deleted. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , - The Amazon Resource Number (ARN) of the endpoint being deleted. amazonka-comprehend?The Amazon Resource Number (ARN) of the endpoint being deleted. amazonka-comprehendCreate a value of " with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: , # - The response's http status code. amazonka-comprehend The response's http status code. amazonka-comprehend amazonka-comprehend
(c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; O! amazonka-comprehendSee: ! smart constructor.! amazonka-comprehend The response's http status code.! amazonka-comprehendSee: ! smart constructor.! amazonka-comprehend The Amazon Resource Name (ARN) that identifies the document classifier.! amazonka-comprehendCreate a value of !" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: !, ! - The Amazon Resource Name (ARN) that identifies the document classifier.! amazonka-comprehend The Amazon Resource Name (ARN) that identifies the document classifier.! amazonka-comprehendCreate a value of !" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: !, !# - The response's http status code.! amazonka-comprehend The response's http status code.! amazonka-comprehend !! amazonka-comprehend !
!!!!!!!!!!
!!!!!!!!!! (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; ! amazonka-comprehendSee: ! smart constructor.! amazonka-comprehend The Amazon Resource Name (ARN) that identifies the entity recognizer.! amazonka-comprehend The response's http status code.! amazonka-comprehendSee: ! smart constructor.! amazonka-comprehend A unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one.! amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt trained custom models. The ModelKmsKeyId can be either
of the following formats KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"! amazonka-comprehendThe JSON resource-based policy to attach to your custom entity
recognizer model. You can use this policy to allow another AWS account
to import your custom model.Provide your JSON as a UTF-8 encoded string without line breaks. To
provide valid JSON for your policy, enclose the attribute names and
values in double quotes. If the JSON body is also enclosed in double
quotes, then you must escape the double quotes that are inside the
policy: 8"{\"attribute\": \"value\", \"attribute\": [\"value\"]}"To avoid escaping quotes, you can use single quotes to enclose the
policy and double quotes to enclose the JSON names and values: 0'{"attribute": "value", "attribute": ["value"]}'! amazonka-comprehendTags to be associated with the entity recognizer being created. A tag is
a key-value pair that adds as a metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department.! amazonka-comprehendThe version name given to the newly created recognizer. Version names
can be a maximum of 256 characters. Alphanumeric characters, hyphens (-)
and underscores (_) are allowed. The version name must be unique among
all models with the same recognizer name in the account/ AWS Region.! amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"! amazonka-comprehendConfiguration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your custom entity
recognizer. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC.! amazonka-comprehendThe name given to the newly created recognizer. Recognizer names can be
a maximum of 256 characters. Alphanumeric characters, hyphens (-) and
underscores (_) are allowed. The name must be unique in the
account/region.! amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Management (IAM)
role that grants Amazon Comprehend read access to your input data.! amazonka-comprehendSpecifies the format and location of the input data. The S3 bucket
containing the input data must be located in the same region as the
entity recognizer being created.! amazonka-comprehendYou can specify any of the following languages: English ("en"),
Spanish ("es"), French ("fr"), Italian ("it"), German ("de"), or
Portuguese ("pt"). If you plan to use this entity recognizer with PDF,
Word, or image input files, you must specify English as the language.
All training documents must be in the same language.! amazonka-comprehendCreate a value of !" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: !, ! - A unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one. !, ! - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt trained custom models. The ModelKmsKeyId can be either
of the following formats KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" !, ! - The JSON resource-based policy to attach to your custom entity
recognizer model. You can use this policy to allow another AWS account
to import your custom model.Provide your JSON as a UTF-8 encoded string without line breaks. To
provide valid JSON for your policy, enclose the attribute names and
values in double quotes. If the JSON body is also enclosed in double
quotes, then you must escape the double quotes that are inside the
policy: 8"{\"attribute\": \"value\", \"attribute\": [\"value\"]}"To avoid escaping quotes, you can use single quotes to enclose the
policy and double quotes to enclose the JSON names and values: 0'{"attribute": "value", "attribute": ["value"]}' !, ! - Tags to be associated with the entity recognizer being created. A tag is
a key-value pair that adds as a metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. !, ! - The version name given to the newly created recognizer. Version names
can be a maximum of 256 characters. Alphanumeric characters, hyphens (-)
and underscores (_) are allowed. The version name must be unique among
all models with the same recognizer name in the account/ AWS Region. !, ! - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" !, ! - Configuration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your custom entity
recognizer. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. !, ! - The name given to the newly created recognizer. Recognizer names can be
a maximum of 256 characters. Alphanumeric characters, hyphens (-) and
underscores (_) are allowed. The name must be unique in the
account/region. !, ! - The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM)
role that grants Amazon Comprehend read access to your input data. !, ! - Specifies the format and location of the input data. The S3 bucket
containing the input data must be located in the same region as the
entity recognizer being created. !, ! - You can specify any of the following languages: English ("en"),
Spanish ("es"), French ("fr"), Italian ("it"), German ("de"), or
Portuguese ("pt"). If you plan to use this entity recognizer with PDF,
Word, or image input files, you must specify English as the language.
All training documents must be in the same language.! amazonka-comprehend A unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one.! amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt trained custom models. The ModelKmsKeyId can be either
of the following formats KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"! amazonka-comprehendThe JSON resource-based policy to attach to your custom entity
recognizer model. You can use this policy to allow another AWS account
to import your custom model.Provide your JSON as a UTF-8 encoded string without line breaks. To
provide valid JSON for your policy, enclose the attribute names and
values in double quotes. If the JSON body is also enclosed in double
quotes, then you must escape the double quotes that are inside the
policy: 8"{\"attribute\": \"value\", \"attribute\": [\"value\"]}"To avoid escaping quotes, you can use single quotes to enclose the
policy and double quotes to enclose the JSON names and values: 0'{"attribute": "value", "attribute": ["value"]}'! amazonka-comprehendTags to be associated with the entity recognizer being created. A tag is
a key-value pair that adds as a metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department.! amazonka-comprehendThe version name given to the newly created recognizer. Version names
can be a maximum of 256 characters. Alphanumeric characters, hyphens (-)
and underscores (_) are allowed. The version name must be unique among
all models with the same recognizer name in the account/ AWS Region.! amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"! amazonka-comprehendConfiguration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your custom entity
recognizer. For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC.! amazonka-comprehendThe name given to the newly created recognizer. Recognizer names can be
a maximum of 256 characters. Alphanumeric characters, hyphens (-) and
underscores (_) are allowed. The name must be unique in the
account/region.! amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Management (IAM)
role that grants Amazon Comprehend read access to your input data.! amazonka-comprehendSpecifies the format and location of the input data. The S3 bucket
containing the input data must be located in the same region as the
entity recognizer being created.! amazonka-comprehendYou can specify any of the following languages: English ("en"),
Spanish ("es"), French ("fr"), Italian ("it"), German ("de"), or
Portuguese ("pt"). If you plan to use this entity recognizer with PDF,
Word, or image input files, you must specify English as the language.
All training documents must be in the same language.! amazonka-comprehendCreate a value of !" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: !, ! - The Amazon Resource Name (ARN) that identifies the entity recognizer. !, !# - The response's http status code.! amazonka-comprehend The Amazon Resource Name (ARN) that identifies the entity recognizer.! amazonka-comprehend The response's http status code.! amazonka-comprehend ! amazonka-comprehend ! amazonka-comprehend ! amazonka-comprehend !! amazonka-comprehend ! !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; .! amazonka-comprehendSee: ! smart constructor.! amazonka-comprehend?The Amazon Resource Number (ARN) of the endpoint being created.! amazonka-comprehend The response's http status code.! amazonka-comprehendSee: ! smart constructor.! amazonka-comprehendAn idempotency token provided by the customer. If this token matches a
previous endpoint creation request, Amazon Comprehend will not return a
ResourceInUseException.! amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS identity and Access Management
(IAM) role that grants Amazon Comprehend read access to trained custom
models encrypted with a customer managed key (ModelKmsKeyId).! amazonka-comprehendTags associated with the endpoint being created. A tag is a key-value
pair that adds metadata to the endpoint. For example, a tag with
"Sales" as the key might be added to an endpoint to indicate its use
by the sales department.! amazonka-comprehend8This is the descriptive suffix that becomes part of the EndpointArn4
used for all subsequent requests to this resource.! amazonka-comprehend The Amazon Resource Number (ARN) of the model to which the endpoint will
be attached.! amazonka-comprehendThe desired number of inference units to be used by the model using this
endpoint. Each inference unit represents of a throughput of 100
characters per second.! amazonka-comprehendCreate a value of !" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: !, ! - An idempotency token provided by the customer. If this token matches a
previous endpoint creation request, Amazon Comprehend will not return a
ResourceInUseException. !, ! - The Amazon Resource Name (ARN) of the AWS identity and Access Management
(IAM) role that grants Amazon Comprehend read access to trained custom
models encrypted with a customer managed key (ModelKmsKeyId). !, ! - Tags associated with the endpoint being created. A tag is a key-value
pair that adds metadata to the endpoint. For example, a tag with
"Sales" as the key might be added to an endpoint to indicate its use
by the sales department. !, !; - This is the descriptive suffix that becomes part of the EndpointArn4
used for all subsequent requests to this resource. !, ! - The Amazon Resource Number (ARN) of the model to which the endpoint will
be attached. !, ! - The desired number of inference units to be used by the model using this
endpoint. Each inference unit represents of a throughput of 100
characters per second.! amazonka-comprehendAn idempotency token provided by the customer. If this token matches a
previous endpoint creation request, Amazon Comprehend will not return a
ResourceInUseException.! amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS identity and Access Management
(IAM) role that grants Amazon Comprehend read access to trained custom
models encrypted with a customer managed key (ModelKmsKeyId).! amazonka-comprehendTags associated with the endpoint being created. A tag is a key-value
pair that adds metadata to the endpoint. For example, a tag with
"Sales" as the key might be added to an endpoint to indicate its use
by the sales department.! amazonka-comprehend8This is the descriptive suffix that becomes part of the EndpointArn4
used for all subsequent requests to this resource.! amazonka-comprehend The Amazon Resource Number (ARN) of the model to which the endpoint will
be attached.! amazonka-comprehendThe desired number of inference units to be used by the model using this
endpoint. Each inference unit represents of a throughput of 100
characters per second.! amazonka-comprehendCreate a value of !" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: !, ! - The Amazon Resource Number (ARN) of the endpoint being created. !, !# - The response's http status code.! amazonka-comprehend?The Amazon Resource Number (ARN) of the endpoint being created.! amazonka-comprehend The response's http status code.! amazonka-comprehend ! amazonka-comprehend ! amazonka-comprehend !! amazonka-comprehend !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; a "! amazonka-comprehendSee: " smart constructor.! amazonka-comprehend The Amazon Resource Name (ARN) that identifies the document classifier." amazonka-comprehend The response's http status code." amazonka-comprehendSee: " smart constructor." amazonka-comprehend A unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one." amazonka-comprehendIndicates the mode in which the classifier will be trained. The
classifier can be trained in multi-class mode, which identifies one and
only one class for each document, or multi-label mode, which identifies
one or more labels for each document. In multi-label mode, multiple
labels for an individual document are separated by a delimiter. The
default delimiter between labels is a pipe (|)." amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt trained custom models. The ModelKmsKeyId can be either
of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"" amazonka-comprehendThe resource-based policy to attach to your custom document classifier
model. You can use this policy to allow another AWS account to import
your custom model.Provide your policy as a JSON body that you enter as a UTF-8 encoded
string without line breaks. To provide valid JSON, enclose the attribute
names and values in double quotes. If the JSON body is also enclosed in
double quotes, then you must escape the double quotes that are inside
the policy: 8"{\"attribute\": \"value\", \"attribute\": [\"value\"]}"To avoid escaping quotes, you can use single quotes to enclose the
policy and double quotes to enclose the JSON names and values: 0'{"attribute": "value", "attribute": ["value"]}'" amazonka-comprehend Enables the addition of output results configuration parameters for
custom classifier jobs." amazonka-comprehendTags to be associated with the document classifier being created. A tag
is a key-value pair that adds as a metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department." amazonka-comprehendThe version name given to the newly created classifier. Version names
can have a maximum of 256 characters. Alphanumeric characters, hyphens
(-) and underscores (_) are allowed. The version name must be unique
among all models with the same classifier name in the account/AWS
Region." amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"" amazonka-comprehendConfiguration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your custom classifier.
For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC." amazonka-comprehend$The name of the document classifier." amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Management (IAM)
role that grants Amazon Comprehend read access to your input data." amazonka-comprehend Specifies the format and location of the input data for the job." amazonka-comprehendThe language of the input documents. You can specify any of the
following languages supported by Amazon Comprehend: German ("de"),
English ("en"), Spanish ("es"), French ("fr"), Italian ("it"),
or Portuguese ("pt"). All documents must be in the same language." amazonka-comprehendCreate a value of "" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: ", " - A unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one. ", " - Indicates the mode in which the classifier will be trained. The
classifier can be trained in multi-class mode, which identifies one and
only one class for each document, or multi-label mode, which identifies
one or more labels for each document. In multi-label mode, multiple
labels for an individual document are separated by a delimiter. The
default delimiter between labels is a pipe (|). ", " - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt trained custom models. The ModelKmsKeyId can be either
of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" ", " - The resource-based policy to attach to your custom document classifier
model. You can use this policy to allow another AWS account to import
your custom model.Provide your policy as a JSON body that you enter as a UTF-8 encoded
string without line breaks. To provide valid JSON, enclose the attribute
names and values in double quotes. If the JSON body is also enclosed in
double quotes, then you must escape the double quotes that are inside
the policy: 8"{\"attribute\": \"value\", \"attribute\": [\"value\"]}"To avoid escaping quotes, you can use single quotes to enclose the
policy and double quotes to enclose the JSON names and values: 0'{"attribute": "value", "attribute": ["value"]}' ", " - Enables the addition of output results configuration parameters for
custom classifier jobs. ", " - Tags to be associated with the document classifier being created. A tag
is a key-value pair that adds as a metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department. ", " - The version name given to the newly created classifier. Version names
can have a maximum of 256 characters. Alphanumeric characters, hyphens
(-) and underscores (_) are allowed. The version name must be unique
among all models with the same classifier name in the account/AWS
Region. ", " - ID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" ", " - Configuration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your custom classifier.
For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC. ", "' - The name of the document classifier. ", " - The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM)
role that grants Amazon Comprehend read access to your input data. ", " - Specifies the format and location of the input data for the job. ", " - The language of the input documents. You can specify any of the
following languages supported by Amazon Comprehend: German ("de"),
English ("en"), Spanish ("es"), French ("fr"), Italian ("it"),
or Portuguese ("pt"). All documents must be in the same language." amazonka-comprehend A unique identifier for the request. If you don't set the client
request token, Amazon Comprehend generates one." amazonka-comprehendIndicates the mode in which the classifier will be trained. The
classifier can be trained in multi-class mode, which identifies one and
only one class for each document, or multi-label mode, which identifies
one or more labels for each document. In multi-label mode, multiple
labels for an individual document are separated by a delimiter. The
default delimiter between labels is a pipe (|)." amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt trained custom models. The ModelKmsKeyId can be either
of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"" amazonka-comprehendThe resource-based policy to attach to your custom document classifier
model. You can use this policy to allow another AWS account to import
your custom model.Provide your policy as a JSON body that you enter as a UTF-8 encoded
string without line breaks. To provide valid JSON, enclose the attribute
names and values in double quotes. If the JSON body is also enclosed in
double quotes, then you must escape the double quotes that are inside
the policy: 8"{\"attribute\": \"value\", \"attribute\": [\"value\"]}"To avoid escaping quotes, you can use single quotes to enclose the
policy and double quotes to enclose the JSON names and values: 0'{"attribute": "value", "attribute": ["value"]}'" amazonka-comprehend Enables the addition of output results configuration parameters for
custom classifier jobs." amazonka-comprehendTags to be associated with the document classifier being created. A tag
is a key-value pair that adds as a metadata to a resource used by Amazon
Comprehend. For example, a tag with "Sales" as the key might be added
to a resource to indicate its use by the sales department." amazonka-comprehendThe version name given to the newly created classifier. Version names
can have a maximum of 256 characters. Alphanumeric characters, hyphens
(-) and underscores (_) are allowed. The version name must be unique
among all models with the same classifier name in the account/AWS
Region." amazonka-comprehendID for the AWS Key Management Service (KMS) key that Amazon Comprehend
uses to encrypt data on the storage volume attached to the ML compute
instance(s) that process the analysis job. The VolumeKmsKeyId can be
either of the following formats: KMS Key ID: &"1234abcd-12ab-34cd-56ef-1234567890ab".Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"" amazonka-comprehendConfiguration parameters for an optional private Virtual Private Cloud
(VPC) containing the resources you are using for your custom classifier.
For more information, see
https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
Amazon VPC." amazonka-comprehend$The name of the document classifier." amazonka-comprehendThe Amazon Resource Name (ARN) of the AWS Identity and Management (IAM)
role that grants Amazon Comprehend read access to your input data." amazonka-comprehend Specifies the format and location of the input data for the job." amazonka-comprehendThe language of the input documents. You can specify any of the
following languages supported by Amazon Comprehend: German ("de"),
English ("en"), Spanish ("es"), French ("fr"), Italian ("it"),
or Portuguese ("pt"). All documents must be in the same language." amazonka-comprehendCreate a value of !" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: !, " - The Amazon Resource Name (ARN) that identifies the document classifier. ", "# - The response's http status code." amazonka-comprehend The Amazon Resource Name (ARN) that identifies the document classifier." amazonka-comprehend The response's http status code." amazonka-comprehend " amazonka-comprehend " amazonka-comprehend " amazonka-comprehend "" amazonka-comprehend "$!!!"""""""""""""""""""""""""""""""""$"""""""""""""""""""""""""""""!!!"""" (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; j " amazonka-comprehendSee: " smart constructor." amazonka-comprehendThe labels used in the document being analyzed. Individual labels
represent personally identifiable information (PII) entity types." amazonka-comprehend The response's http status code." amazonka-comprehendSee: " smart constructor." amazonka-comprehend7A UTF-8 text string. The maximum string size is 100 KB." amazonka-comprehend The language of the input documents. Currently, English is the only
valid language." amazonka-comprehendCreate a value of "" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: ", ": - A UTF-8 text string. The maximum string size is 100 KB. ", " - The language of the input documents. Currently, English is the only
valid language." amazonka-comprehend7A UTF-8 text string. The maximum string size is 100 KB." amazonka-comprehend The language of the input documents. Currently, English is the only
valid language." amazonka-comprehendCreate a value of "" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: ", " - The labels used in the document being analyzed. Individual labels
represent personally identifiable information (PII) entity types. ", "# - The response's http status code." amazonka-comprehendThe labels used in the document being analyzed. Individual labels
represent personally identifiable information (PII) entity types." amazonka-comprehend The response's http status code." amazonka-comprehend " amazonka-comprehend "" amazonka-comprehend """"""""""""""""""""""""""""" (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; ;" amazonka-comprehendSee: " smart constructor." amazonka-comprehendThe classes used by the document being analyzed. These are used for
multi-class trained models. Individual classes are mutually exclusive
and each document is expected to have only a single class assigned to
it. For example, an animal can be a dog or a cat, but not both at the
same time." amazonka-comprehend Extraction information about the document. This field is present in the
response only if your request includes the Byte parameter." amazonka-comprehendThe document type for each page in the input document. This field is
present in the response only if your request includes the Byte
parameter." amazonka-comprehendPage-level errors that the system detected while processing the input
document. The field is empty if the system encountered no errors." amazonka-comprehendThe labels used the document being analyzed. These are used for
multi-label trained models. Individual labels represent different
categories that are related in some manner and are not mutually
exclusive. For example, a movie can be just an action movie, or it can
be an action movie, a science fiction movie, and a comedy, all at the
same time." amazonka-comprehend The response's http status code." amazonka-comprehendSee: " smart constructor." amazonka-comprehendUse the Bytes parameter to input a text, PDF, Word or image file. You
can also use the Bytes( parameter to input an Amazon Textract
DetectDocumentText or AnalyzeDocument
output file.Provide the input document as a sequence of base64-encoded bytes. If
your code uses an Amazon Web Services SDK to classify documents, the SDK
may encode the document file bytes for you. The maximum length of this field depends on the input document type. For
details, see
https://docs.aws.amazon.com/comprehend/latest/dg/idp-inputs-sync.html$Inputs for real-time custom analysis$
in the Comprehend Developer Guide.If you use the Bytes parameter, do not use the Text parameter." amazonka-comprehend Provides configuration parameters to override the default actions for
extracting text from PDF documents and image files." amazonka-comprehend The document text to be analyzed. If you enter text using this
parameter, do not use the Bytes parameter." amazonka-comprehend The Amazon Resource Number (ARN) of the endpoint. For information about
endpoints, see
https://docs.aws.amazon.com/comprehend/latest/dg/manage-endpoints.htmlManaging endpoints." amazonka-comprehendCreate a value of "" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: ", " - Use the Bytes parameter to input a text, PDF, Word or image file. You
can also use the Bytes( parameter to input an Amazon Textract
DetectDocumentText or AnalyzeDocument
output file.Provide the input document as a sequence of base64-encoded bytes. If
your code uses an Amazon Web Services SDK to classify documents, the SDK
may encode the document file bytes for you. The maximum length of this field depends on the input document type. For
details, see
https://docs.aws.amazon.com/comprehend/latest/dg/idp-inputs-sync.html$Inputs for real-time custom analysis$
in the Comprehend Developer Guide.If you use the Bytes parameter, do not use the Text parameter.--
-- Note: This Lens automatically encodes and decodes Base64 data.
-- The underlying isomorphism will encode to Base64 representation during
-- serialisation, and decode from Base64 representation during deserialisation.
-- This Lens- accepts and returns only raw unencoded data. ", " - Provides configuration parameters to override the default actions for
extracting text from PDF documents and image files. ", " - The document text to be analyzed. If you enter text using this
parameter, do not use the Bytes parameter. ", " - The Amazon Resource Number (ARN) of the endpoint. For information about
endpoints, see
https://docs.aws.amazon.com/comprehend/latest/dg/manage-endpoints.htmlManaging endpoints." amazonka-comprehendUse the Bytes parameter to input a text, PDF, Word or image file. You
can also use the Bytes( parameter to input an Amazon Textract
DetectDocumentText or AnalyzeDocument
output file.Provide the input document as a sequence of base64-encoded bytes. If
your code uses an Amazon Web Services SDK to classify documents, the SDK
may encode the document file bytes for you. The maximum length of this field depends on the input document type. For
details, see
https://docs.aws.amazon.com/comprehend/latest/dg/idp-inputs-sync.html$Inputs for real-time custom analysis$
in the Comprehend Developer Guide.If you use the Bytes parameter, do not use the Text parameter.--
-- Note: This Lens automatically encodes and decodes Base64 data.
-- The underlying isomorphism will encode to Base64 representation during
-- serialisation, and decode from Base64 representation during deserialisation.
-- This Lens- accepts and returns only raw unencoded data." amazonka-comprehend Provides configuration parameters to override the default actions for
extracting text from PDF documents and image files." amazonka-comprehend The document text to be analyzed. If you enter text using this
parameter, do not use the Bytes parameter." amazonka-comprehend The Amazon Resource Number (ARN) of the endpoint. For information about
endpoints, see
https://docs.aws.amazon.com/comprehend/latest/dg/manage-endpoints.htmlManaging endpoints." amazonka-comprehendCreate a value of "" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: ", " - The classes used by the document being analyzed. These are used for
multi-class trained models. Individual classes are mutually exclusive
and each document is expected to have only a single class assigned to
it. For example, an animal can be a dog or a cat, but not both at the
same time. ", " - Extraction information about the document. This field is present in the
response only if your request includes the Byte parameter. ", " - The document type for each page in the input document. This field is
present in the response only if your request includes the Byte
parameter. ", " - Page-level errors that the system detected while processing the input
document. The field is empty if the system encountered no errors. ", " - The labels used the document being analyzed. These are used for
multi-label trained models. Individual labels represent different
categories that are related in some manner and are not mutually
exclusive. For example, a movie can be just an action movie, or it can
be an action movie, a science fiction movie, and a comedy, all at the
same time. ", "# - The response's http status code." amazonka-comprehendThe classes used by the document being analyzed. These are used for
multi-class trained models. Individual classes are mutually exclusive
and each document is expected to have only a single class assigned to
it. For example, an animal can be a dog or a cat, but not both at the
same time." amazonka-comprehend Extraction information about the document. This field is present in the
response only if your request includes the Byte parameter." amazonka-comprehendThe document type for each page in the input document. This field is
present in the response only if your request includes the Byte
parameter." amazonka-comprehendPage-level errors that the system detected while processing the input
document. The field is empty if the system encountered no errors." amazonka-comprehendThe labels used the document being analyzed. These are used for
multi-label trained models. Individual labels represent different
categories that are related in some manner and are not mutually
exclusive. For example, a movie can be just an action movie, or it can
be an action movie, a science fiction movie, and a comedy, all at the
same time." amazonka-comprehend The response's http status code." amazonka-comprehend "" amazonka-comprehend """"""""""""""""""""""""""""""""""""""""""""""""""""" (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; g" amazonka-comprehendSee: # smart constructor." amazonka-comprehend The response's http status code." amazonka-comprehend A list of objects containing the results of the operation. The results
are sorted in ascending order by the Index field and match the order
of the documents in the input list. If all of the documents contain an
error, the
ResultList
is empty." amazonka-comprehend-List of errors that the operation can return." amazonka-comprehendSee: # smart constructor." amazonka-comprehendA list containing the UTF-8 encoded text of the input documents. The
list can contain a maximum of 25 documents. The maximum size of each
document is 5 KB." amazonka-comprehend The language of the input documents. Currently, English is the only
supported language.# amazonka-comprehendCreate a value of "" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: ", # - A list containing the UTF-8 encoded text of the input documents. The
list can contain a maximum of 25 documents. The maximum size of each
document is 5 KB. ", # - The language of the input documents. Currently, English is the only
supported language.# amazonka-comprehendA list containing the UTF-8 encoded text of the input documents. The
list can contain a maximum of 25 documents. The maximum size of each
document is 5 KB.# amazonka-comprehend The language of the input documents. Currently, English is the only
supported language.# amazonka-comprehendCreate a value of "" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: ", ## - The response's http status code. ", # - A list of objects containing the results of the operation. The results
are sorted in ascending order by the Index field and match the order
of the documents in the input list. If all of the documents contain an
error, the
ResultList
is empty. ", #0 - List of errors that the operation can return.# amazonka-comprehend The response's http status code.# amazonka-comprehend A list of objects containing the results of the operation. The results
are sorted in ascending order by the Index field and match the order
of the documents in the input list. If all of the documents contain an
error, the
ResultList
is empty.# amazonka-comprehend-List of errors that the operation can return.# amazonka-comprehend " amazonka-comprehend "# amazonka-comprehend """"""""""#######""""###"""""#### (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; # amazonka-comprehendSee: # smart constructor.# amazonka-comprehend The response's http status code.# amazonka-comprehend A list of objects containing the results of the operation. The results
are sorted in ascending order by the Index field and match the order
of the documents in the input list. If all of the documents contain an
error, the
ResultList
is empty.# amazonka-comprehend A list containing one object for each document that contained an error.
The results are sorted in ascending order by the Index field and match
the order of the documents in the input list. If there are no errors in
the batch, the ErrorList
is empty.# amazonka-comprehendSee: # smart constructor.# amazonka-comprehendA list containing the UTF-8 encoded text of the input documents. The
list can contain a maximum of 25 documents. The maximum size for each
document is 5 KB.# amazonka-comprehendThe language of the input documents. You can specify any of the
following languages supported by Amazon Comprehend: German ("de"),
English ("en"), Spanish ("es"), French ("fr"), Italian ("it"),
or Portuguese ("pt"). All documents must be in the same language.# amazonka-comprehendCreate a value of #" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: #, # - A list containing the UTF-8 encoded text of the input documents. The
list can contain a maximum of 25 documents. The maximum size for each
document is 5 KB. #, # - The language of the input documents. You can specify any of the
following languages supported by Amazon Comprehend: German ("de"),
English ("en"), Spanish ("es"), French ("fr"), Italian ("it"),
or Portuguese ("pt"). All documents must be in the same language.# amazonka-comprehendA list containing the UTF-8 encoded text of the input documents. The
list can contain a maximum of 25 documents. The maximum size for each
document is 5 KB.# amazonka-comprehendThe language of the input documents. You can specify any of the
following languages supported by Amazon Comprehend: German ("de"),
English ("en"), Spanish ("es"), French ("fr"), Italian ("it"),
or Portuguese ("pt"). All documents must be in the same language.# amazonka-comprehendCreate a value of #" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: #, ## - The response's http status code. #, # - A list of objects containing the results of the operation. The results
are sorted in ascending order by the Index field and match the order
of the documents in the input list. If all of the documents contain an
error, the
ResultList
is empty. #, # - A list containing one object for each document that contained an error.
The results are sorted in ascending order by the Index field and match
the order of the documents in the input list. If there are no errors in
the batch, the ErrorList
is empty.# amazonka-comprehend The response's http status code.# amazonka-comprehend A list of objects containing the results of the operation. The results
are sorted in ascending order by the Index field and match the order
of the documents in the input list. If all of the documents contain an
error, the
ResultList
is empty.# amazonka-comprehend A list containing one object for each document that contained an error.
The results are sorted in ascending order by the Index field and match
the order of the documents in the input list. If there are no errors in
the batch, the ErrorList
is empty.# amazonka-comprehend # amazonka-comprehend ## amazonka-comprehend ################################# (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; Y# amazonka-comprehendSee: # smart constructor.# amazonka-comprehend The response's http status code.# amazonka-comprehend A list of objects containing the results of the operation. The results
are sorted in ascending order by the Index field and match the order
of the documents in the input list. If all of the documents contain an
error, the
ResultList
is empty.# amazonka-comprehend A list containing one object for each document that contained an error.
The results are sorted in ascending order by the Index field and match
the order of the documents in the input list. If there are no errors in
the batch, the ErrorList
is empty.# amazonka-comprehendSee: # smart constructor.# amazonka-comprehendA list containing the UTF-8 encoded text of the input documents. The
list can contain a maximum of 25 documents. The maximum size of each
document is 5 KB.Amazon Comprehend performs real-time sentiment analysis on the first 500
characters of the input text and ignores any additional text in the
input.# amazonka-comprehendThe language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. All documents must be in the
same language.# amazonka-comprehendCreate a value of #" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: #, # - A list containing the UTF-8 encoded text of the input documents. The
list can contain a maximum of 25 documents. The maximum size of each
document is 5 KB.Amazon Comprehend performs real-time sentiment analysis on the first 500
characters of the input text and ignores any additional text in the
input. #, # - The language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. All documents must be in the
same language.# amazonka-comprehendA list containing the UTF-8 encoded text of the input documents. The
list can contain a maximum of 25 documents. The maximum size of each
document is 5 KB.Amazon Comprehend performs real-time sentiment analysis on the first 500
characters of the input text and ignores any additional text in the
input.# amazonka-comprehendThe language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. All documents must be in the
same language.# amazonka-comprehendCreate a value of #" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: #, ## - The response's http status code. #, # - A list of objects containing the results of the operation. The results
are sorted in ascending order by the Index field and match the order
of the documents in the input list. If all of the documents contain an
error, the
ResultList
is empty. #, # - A list containing one object for each document that contained an error.
The results are sorted in ascending order by the Index field and match
the order of the documents in the input list. If there are no errors in
the batch, the ErrorList
is empty.# amazonka-comprehend The response's http status code.# amazonka-comprehend A list of objects containing the results of the operation. The results
are sorted in ascending order by the Index field and match the order
of the documents in the input list. If all of the documents contain an
error, the
ResultList
is empty.# amazonka-comprehend A list containing one object for each document that contained an error.
The results are sorted in ascending order by the Index field and match
the order of the documents in the input list. If there are no errors in
the batch, the ErrorList
is empty.# amazonka-comprehend # amazonka-comprehend ## amazonka-comprehend ################################# (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; # amazonka-comprehendSee: # smart constructor.# amazonka-comprehend The response's http status code.# amazonka-comprehend A list of objects containing the results of the operation. The results
are sorted in ascending order by the Index field and match the order
of the documents in the input list. If all of the documents contain an
error, the
ResultList
is empty.# amazonka-comprehend A list containing one object for each document that contained an error.
The results are sorted in ascending order by the Index field and match
the order of the documents in the input list. If there are no errors in
the batch, the ErrorList
is empty.# amazonka-comprehendSee: # smart constructor.# amazonka-comprehendA list containing the UTF-8 encoded text of the input documents. The
list can contain a maximum of 25 documents. The maximum size of each
document is 5 KB.# amazonka-comprehendThe language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. All documents must be in the
same language.# amazonka-comprehendCreate a value of #" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: #, # - A list containing the UTF-8 encoded text of the input documents. The
list can contain a maximum of 25 documents. The maximum size of each
document is 5 KB. #, # - The language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. All documents must be in the
same language.# amazonka-comprehendA list containing the UTF-8 encoded text of the input documents. The
list can contain a maximum of 25 documents. The maximum size of each
document is 5 KB.# amazonka-comprehendThe language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. All documents must be in the
same language.# amazonka-comprehendCreate a value of #" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: #, ## - The response's http status code. #, # - A list of objects containing the results of the operation. The results
are sorted in ascending order by the Index field and match the order
of the documents in the input list. If all of the documents contain an
error, the
ResultList
is empty. #, # - A list containing one object for each document that contained an error.
The results are sorted in ascending order by the Index field and match
the order of the documents in the input list. If there are no errors in
the batch, the ErrorList
is empty.# amazonka-comprehend The response's http status code.# amazonka-comprehend A list of objects containing the results of the operation. The results
are sorted in ascending order by the Index field and match the order
of the documents in the input list. If all of the documents contain an
error, the
ResultList
is empty.# amazonka-comprehend A list containing one object for each document that contained an error.
The results are sorted in ascending order by the Index field and match
the order of the documents in the input list. If there are no errors in
the batch, the ErrorList
is empty.# amazonka-comprehend # amazonka-comprehend ## amazonka-comprehend ################################# (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; E# amazonka-comprehendSee: # smart constructor.# amazonka-comprehend The response's http status code.# amazonka-comprehend A list of objects containing the results of the operation. The results
are sorted in ascending order by the Index field and match the order
of the documents in the input list. If all of the documents contain an
error, the
ResultList
is empty.# amazonka-comprehend A list containing one object for each document that contained an error.
The results are sorted in ascending order by the Index field and match
the order of the documents in the input list. If there are no errors in
the batch, the ErrorList
is empty.# amazonka-comprehendSee: # smart constructor.# amazonka-comprehendA list containing the UTF-8 encoded text of the input documents. The
list can contain a maximum of 25 documents. The maximum size of each
document is 5 KB.# amazonka-comprehendThe language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. All documents must be in the
same language.# amazonka-comprehendCreate a value of #" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: #, # - A list containing the UTF-8 encoded text of the input documents. The
list can contain a maximum of 25 documents. The maximum size of each
document is 5 KB. #, # - The language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. All documents must be in the
same language.# amazonka-comprehendA list containing the UTF-8 encoded text of the input documents. The
list can contain a maximum of 25 documents. The maximum size of each
document is 5 KB.# amazonka-comprehendThe language of the input documents. You can specify any of the primary
languages supported by Amazon Comprehend. All documents must be in the
same language.# amazonka-comprehendCreate a value of #" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: #, ## - The response's http status code. #, # - A list of objects containing the results of the operation. The results
are sorted in ascending order by the Index field and match the order
of the documents in the input list. If all of the documents contain an
error, the
ResultList
is empty. #, # - A list containing one object for each document that contained an error.
The results are sorted in ascending order by the Index field and match
the order of the documents in the input list. If there are no errors in
the batch, the ErrorList
is empty.# amazonka-comprehend The response's http status code.# amazonka-comprehend A list of objects containing the results of the operation. The results
are sorted in ascending order by the Index field and match the order
of the documents in the input list. If all of the documents contain an
error, the
ResultList
is empty.# amazonka-comprehend A list containing one object for each document that contained an error.
The results are sorted in ascending order by the Index field and match
the order of the documents in the input list. If there are no errors in
the batch, the ErrorList
is empty.# amazonka-comprehend # amazonka-comprehend ## amazonka-comprehend ################################# (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; $ amazonka-comprehendSee: $ smart constructor.$ amazonka-comprehend The response's http status code.$ amazonka-comprehend A list of objects containing the results of the operation. The results
are sorted in ascending order by the Index field and match the order
of the documents in the input list. If all of the documents contain an
error, the
ResultList
is empty.$ amazonka-comprehend A list containing one object for each document that contained an error.
The results are sorted in ascending order by the Index field and match
the order of the documents in the input list. If there are no errors in
the batch, the ErrorList
is empty.$ amazonka-comprehendSee: $ smart constructor.$ amazonka-comprehendA list containing the UTF-8 encoded text of the input documents. The
list can contain a maximum of 25 documents. Each document should contain
at least 20 characters. The maximum size of each document is 5 KB.$ amazonka-comprehendCreate a value of $" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: $, $ - A list containing the UTF-8 encoded text of the input documents. The
list can contain a maximum of 25 documents. Each document should contain
at least 20 characters. The maximum size of each document is 5 KB.$ amazonka-comprehendA list containing the UTF-8 encoded text of the input documents. The
list can contain a maximum of 25 documents. Each document should contain
at least 20 characters. The maximum size of each document is 5 KB.$ amazonka-comprehendCreate a value of $" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: $, $# - The response's http status code. $, $ - A list of objects containing the results of the operation. The results
are sorted in ascending order by the Index field and match the order
of the documents in the input list. If all of the documents contain an
error, the
ResultList
is empty. $, $ - A list containing one object for each document that contained an error.
The results are sorted in ascending order by the Index field and match
the order of the documents in the input list. If there are no errors in
the batch, the ErrorList
is empty.$ amazonka-comprehend The response's http status code.$ amazonka-comprehend A list of objects containing the results of the operation. The results
are sorted in ascending order by the Index field and match the order
of the documents in the input list. If all of the documents contain an
error, the
ResultList
is empty.$ amazonka-comprehend A list containing one object for each document that contained an error.
The results are sorted in ascending order by the Index field and match
the order of the documents in the input list. If there are no errors in
the batch, the ErrorList
is empty.$ amazonka-comprehend $$ amazonka-comprehend $$$$$$$$$$$$$$$$$$$$$$$$$$$$$ (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&';
$ amazonka-comprehendSee: $ smart constructor.$ amazonka-comprehend The response's http status code.$ amazonka-comprehendSee: $ smart constructor.$ amazonka-comprehend The Amazon Resource Name (ARN) of the given Amazon Comprehend resource
from which you want to remove the tags.$ amazonka-comprehendThe initial part of a key-value pair that forms a tag being removed from
a given resource. For example, a tag with "Sales" as the key might be
added to a resource to indicate its use by the sales department. Keys
must be unique and cannot be duplicated for a particular resource.$ amazonka-comprehendCreate a value of $" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: $, $ - The Amazon Resource Name (ARN) of the given Amazon Comprehend resource
from which you want to remove the tags. $, $ - The initial part of a key-value pair that forms a tag being removed from
a given resource. For example, a tag with "Sales" as the key might be
added to a resource to indicate its use by the sales department. Keys
must be unique and cannot be duplicated for a particular resource.$ amazonka-comprehend The Amazon Resource Name (ARN) of the given Amazon Comprehend resource
from which you want to remove the tags.$ amazonka-comprehendThe initial part of a key-value pair that forms a tag being removed from
a given resource. For example, a tag with "Sales" as the key might be
added to a resource to indicate its use by the sales department. Keys
must be unique and cannot be duplicated for a particular resource.$ amazonka-comprehendCreate a value of $" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: $, $# - The response's http status code.$ amazonka-comprehend The response's http status code.$ amazonka-comprehend $$ amazonka-comprehend $ $$$$$$$$$$$$ $$$$$$$$$$$$ (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "%&'; L$ amazonka-comprehendSee: $ smart constructor.$ amazonka-comprehend The response's http status code.$ amazonka-comprehendSee: $ smart constructor.$ amazonka-comprehend Data access role ARN to use in case the new model is encrypted with a
customer CMK.$ amazonka-comprehendThe desired number of inference units to be used by the model using this
endpoint. Each inference unit represents of a throughput of 100
characters per second.$ amazonka-comprehend The ARN of the new model to use when updating an existing endpoint.$ amazonka-comprehend?The Amazon Resource Number (ARN) of the endpoint being updated.$ amazonka-comprehendCreate a value of $" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: $, $ - Data access role ARN to use in case the new model is encrypted with a
customer CMK. $, $ - The desired number of inference units to be used by the model using this
endpoint. Each inference unit represents of a throughput of 100
characters per second. $, $ - The ARN of the new model to use when updating an existing endpoint. $, $ - The Amazon Resource Number (ARN) of the endpoint being updated.$ amazonka-comprehend Data access role ARN to use in case the new model is encrypted with a
customer CMK.$ amazonka-comprehendThe desired number of inference units to be used by the model using this
endpoint. Each inference unit represents of a throughput of 100
characters per second.$ amazonka-comprehend The ARN of the new model to use when updating an existing endpoint.$ amazonka-comprehend?The Amazon Resource Number (ARN) of the endpoint being updated.$ amazonka-comprehendCreate a value of $" with all optional fields omitted.Use 0https://hackage.haskell.org/package/generic-lens generic-lens or *https://hackage.haskell.org/package/opticsoptics! to modify other optional fields. The following record fields are available, with the corresponding lenses provided
for backwards compatibility: $, $# - The response's http status code.$ amazonka-comprehend The response's http status code.$ amazonka-comprehend $$ amazonka-comprehend $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred & GHIJXYZijkl
!!!!!!!!!!!!!!!!!!!!!!!"""""""""""""""""""""""""""""#########################$$$$$$$$$$$$$$$$#########################"""""""""""""""""""""""""""""!!!!!!!!!!!!!!!!!!!!!!! $$$$$$$$
ijklGHIJXYZ
(c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred "% > (c) 2013-2023 Brendan Hay Mozilla Public License, v. 2.0. Brendan Hayauto-generated non-portable (GHC extensions)
Safe-Inferred (,+)*@AFRSWbchtu~
!!!!!!!!!!!!!!!!!!!!""""""""""""""""""""##########################$$$$$$$$$$$$$$$$$$$$$$$$########################""#""#"""""""""""""""!!"!!!!!!!!!!!!!!!!!! $$$$$$$$$$$$ (,+)*,+
bch@AFRSWtu~
$
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% % % % % % % % % % % % & & & & & & & & & & & & & & & & & & & & & & & & & &&.amazonka-comprehend-2.0-Ko6GCjAQF2RARapSdPn69F>Amazonka.Comprehend.Types.AugmentedManifestsDocumentTypeFormat(Amazonka.Comprehend.Types.BatchItemError#Amazonka.Comprehend.Types.BlockType%Amazonka.Comprehend.Types.BoundingBox$Amazonka.Comprehend.Types.ChildBlock(Amazonka.Comprehend.Types.BlockReference5Amazonka.Comprehend.Types.ClassifierEvaluationMetrics,Amazonka.Comprehend.Types.ClassifierMetadata'Amazonka.Comprehend.Types.DocumentClass6Amazonka.Comprehend.Types.DocumentClassifierDataFormat0Amazonka.Comprehend.Types.DocumentClassifierMode$sel:outputDataConfig:TargetedSentimentDetectionJobProperties'8$sel:submitTime:TargetedSentimentDetectionJobProperties'<$sel:volumeKmsKeyId:TargetedSentimentDetectionJobProperties'7$sel:vpcConfig:TargetedSentimentDetectionJobProperties'*newTargetedSentimentDetectionJobProperties9targetedSentimentDetectionJobProperties_dataAccessRoleArn/targetedSentimentDetectionJobProperties_endTime7targetedSentimentDetectionJobProperties_inputDataConfig.targetedSentimentDetectionJobProperties_jobArn-targetedSentimentDetectionJobProperties_jobId/targetedSentimentDetectionJobProperties_jobName1targetedSentimentDetectionJobProperties_jobStatus4targetedSentimentDetectionJobProperties_languageCode/targetedSentimentDetectionJobProperties_message8targetedSentimentDetectionJobProperties_outputDataConfig2targetedSentimentDetectionJobProperties_submitTime6targetedSentimentDetectionJobProperties_volumeKmsKeyId1targetedSentimentDetectionJobProperties_vpcConfig/$fNFDataTargetedSentimentDetectionJobProperties1$fHashableTargetedSentimentDetectionJobProperties1$fFromJSONTargetedSentimentDetectionJobProperties+$fEqTargetedSentimentDetectionJobProperties-$fReadTargetedSentimentDetectionJobProperties-$fShowTargetedSentimentDetectionJobProperties0$fGenericTargetedSentimentDetectionJobProperties SentimentDetectionJobProperties SentimentDetectionJobProperties'7$sel:dataAccessRoleArn:SentimentDetectionJobProperties'-$sel:endTime:SentimentDetectionJobProperties'5$sel:inputDataConfig:SentimentDetectionJobProperties',$sel:jobArn:SentimentDetectionJobProperties'+$sel:jobId:SentimentDetectionJobProperties'-$sel:jobName:SentimentDetectionJobProperties'/$sel:jobStatus:SentimentDetectionJobProperties'2$sel:languageCode:SentimentDetectionJobProperties'-$sel:message:SentimentDetectionJobProperties'6$sel:outputDataConfig:SentimentDetectionJobProperties'0$sel:submitTime:SentimentDetectionJobProperties'4$sel:volumeKmsKeyId:SentimentDetectionJobProperties'/$sel:vpcConfig:SentimentDetectionJobProperties'"newSentimentDetectionJobProperties1sentimentDetectionJobProperties_dataAccessRoleArn'sentimentDetectionJobProperties_endTime/sentimentDetectionJobProperties_inputDataConfig&sentimentDetectionJobProperties_jobArn%sentimentDetectionJobProperties_jobId'sentimentDetectionJobProperties_jobName)sentimentDetectionJobProperties_jobStatus,sentimentDetectionJobProperties_languageCode'sentimentDetectionJobProperties_message0sentimentDetectionJobProperties_outputDataConfig*sentimentDetectionJobProperties_submitTime.sentimentDetectionJobProperties_volumeKmsKeyId)sentimentDetectionJobProperties_vpcConfig'$fNFDataSentimentDetectionJobProperties)$fHashableSentimentDetectionJobProperties)$fFromJSONSentimentDetectionJobProperties#$fEqSentimentDetectionJobProperties%$fReadSentimentDetectionJobProperties%$fShowSentimentDetectionJobProperties($fGenericSentimentDetectionJobProperties KeyPhrasesDetectionJobProperties!KeyPhrasesDetectionJobProperties'8$sel:dataAccessRoleArn:KeyPhrasesDetectionJobProperties'.$sel:endTime:KeyPhrasesDetectionJobProperties'6$sel:inputDataConfig:KeyPhrasesDetectionJobProperties'-$sel:jobArn:KeyPhrasesDetectionJobProperties',$sel:jobId:KeyPhrasesDetectionJobProperties'.$sel:jobName:KeyPhrasesDetectionJobProperties'0$sel:jobStatus:KeyPhrasesDetectionJobProperties'3$sel:languageCode:KeyPhrasesDetectionJobProperties'.$sel:message:KeyPhrasesDetectionJobProperties'7$sel:outputDataConfig:KeyPhrasesDetectionJobProperties'1$sel:submitTime:KeyPhrasesDetectionJobProperties'5$sel:volumeKmsKeyId:KeyPhrasesDetectionJobProperties'0$sel:vpcConfig:KeyPhrasesDetectionJobProperties'#newKeyPhrasesDetectionJobProperties2keyPhrasesDetectionJobProperties_dataAccessRoleArn(keyPhrasesDetectionJobProperties_endTime0keyPhrasesDetectionJobProperties_inputDataConfig'keyPhrasesDetectionJobProperties_jobArn&keyPhrasesDetectionJobProperties_jobId(keyPhrasesDetectionJobProperties_jobName*keyPhrasesDetectionJobProperties_jobStatus-keyPhrasesDetectionJobProperties_languageCode(keyPhrasesDetectionJobProperties_message1keyPhrasesDetectionJobProperties_outputDataConfig+keyPhrasesDetectionJobProperties_submitTime/keyPhrasesDetectionJobProperties_volumeKmsKeyId*keyPhrasesDetectionJobProperties_vpcConfig($fNFDataKeyPhrasesDetectionJobProperties*$fHashableKeyPhrasesDetectionJobProperties*$fFromJSONKeyPhrasesDetectionJobProperties$$fEqKeyPhrasesDetectionJobProperties&$fReadKeyPhrasesDetectionJobProperties&$fShowKeyPhrasesDetectionJobProperties)$fGenericKeyPhrasesDetectionJobPropertiesEntityRecognizerPropertiesEntityRecognizerProperties'2$sel:dataAccessRoleArn:EntityRecognizerProperties'($sel:endTime:EntityRecognizerProperties'4$sel:entityRecognizerArn:EntityRecognizerProperties'0$sel:inputDataConfig:EntityRecognizerProperties'-$sel:languageCode:EntityRecognizerProperties'($sel:message:EntityRecognizerProperties'.$sel:modelKmsKeyId:EntityRecognizerProperties'3$sel:recognizerMetadata:EntityRecognizerProperties'/$sel:sourceModelArn:EntityRecognizerProperties''$sel:status:EntityRecognizerProperties'+$sel:submitTime:EntityRecognizerProperties'0$sel:trainingEndTime:EntityRecognizerProperties'2$sel:trainingStartTime:EntityRecognizerProperties',$sel:versionName:EntityRecognizerProperties'/$sel:volumeKmsKeyId:EntityRecognizerProperties'*$sel:vpcConfig:EntityRecognizerProperties' newEntityRecognizerProperties,entityRecognizerProperties_dataAccessRoleArn"entityRecognizerProperties_endTime.entityRecognizerProperties_entityRecognizerArn*entityRecognizerProperties_inputDataConfig'entityRecognizerProperties_languageCode"entityRecognizerProperties_message(entityRecognizerProperties_modelKmsKeyId-entityRecognizerProperties_recognizerMetadata)entityRecognizerProperties_sourceModelArn!entityRecognizerProperties_status%entityRecognizerProperties_submitTime*entityRecognizerProperties_trainingEndTime,entityRecognizerProperties_trainingStartTime&entityRecognizerProperties_versionName)entityRecognizerProperties_volumeKmsKeyId$entityRecognizerProperties_vpcConfig"$fNFDataEntityRecognizerProperties$$fHashableEntityRecognizerProperties$$fFromJSONEntityRecognizerProperties $fEqEntityRecognizerProperties $fShowEntityRecognizerProperties#$fGenericEntityRecognizerProperties EntitiesDetectionJobProperties EntitiesDetectionJobProperties'6$sel:dataAccessRoleArn:EntitiesDetectionJobProperties',$sel:endTime:EntitiesDetectionJobProperties'8$sel:entityRecognizerArn:EntitiesDetectionJobProperties'4$sel:inputDataConfig:EntitiesDetectionJobProperties'+$sel:jobArn:EntitiesDetectionJobProperties'*$sel:jobId:EntitiesDetectionJobProperties',$sel:jobName:EntitiesDetectionJobProperties'.$sel:jobStatus:EntitiesDetectionJobProperties'1$sel:languageCode:EntitiesDetectionJobProperties',$sel:message:EntitiesDetectionJobProperties'5$sel:outputDataConfig:EntitiesDetectionJobProperties'/$sel:submitTime:EntitiesDetectionJobProperties'3$sel:volumeKmsKeyId:EntitiesDetectionJobProperties'.$sel:vpcConfig:EntitiesDetectionJobProperties'!newEntitiesDetectionJobProperties0entitiesDetectionJobProperties_dataAccessRoleArn&entitiesDetectionJobProperties_endTime2entitiesDetectionJobProperties_entityRecognizerArn.entitiesDetectionJobProperties_inputDataConfig%entitiesDetectionJobProperties_jobArn$entitiesDetectionJobProperties_jobId&entitiesDetectionJobProperties_jobName(entitiesDetectionJobProperties_jobStatus+entitiesDetectionJobProperties_languageCode&entitiesDetectionJobProperties_message/entitiesDetectionJobProperties_outputDataConfig)entitiesDetectionJobProperties_submitTime-entitiesDetectionJobProperties_volumeKmsKeyId(entitiesDetectionJobProperties_vpcConfig&$fNFDataEntitiesDetectionJobProperties($fHashableEntitiesDetectionJobProperties($fFromJSONEntitiesDetectionJobProperties"$fEqEntitiesDetectionJobProperties$$fReadEntitiesDetectionJobProperties$$fShowEntitiesDetectionJobProperties'$fGenericEntitiesDetectionJobProperties&DominantLanguageDetectionJobProperties'DominantLanguageDetectionJobProperties'>$sel:dataAccessRoleArn:DominantLanguageDetectionJobProperties'4$sel:endTime:DominantLanguageDetectionJobProperties'<$sel:inputDataConfig:DominantLanguageDetectionJobProperties'3$sel:jobArn:DominantLanguageDetectionJobProperties'2$sel:jobId:DominantLanguageDetectionJobProperties'4$sel:jobName:DominantLanguageDetectionJobProperties'6$sel:jobStatus:DominantLanguageDetectionJobProperties'4$sel:message:DominantLanguageDetectionJobProperties'=$sel:outputDataConfig:DominantLanguageDetectionJobProperties'7$sel:submitTime:DominantLanguageDetectionJobProperties';$sel:volumeKmsKeyId:DominantLanguageDetectionJobProperties'6$sel:vpcConfig:DominantLanguageDetectionJobProperties')newDominantLanguageDetectionJobProperties8dominantLanguageDetectionJobProperties_dataAccessRoleArn.dominantLanguageDetectionJobProperties_endTime6dominantLanguageDetectionJobProperties_inputDataConfig-dominantLanguageDetectionJobProperties_jobArn,dominantLanguageDetectionJobProperties_jobId.dominantLanguageDetectionJobProperties_jobName0dominantLanguageDetectionJobProperties_jobStatus.dominantLanguageDetectionJobProperties_message7dominantLanguageDetectionJobProperties_outputDataConfig1dominantLanguageDetectionJobProperties_submitTime5dominantLanguageDetectionJobProperties_volumeKmsKeyId0dominantLanguageDetectionJobProperties_vpcConfig.$fNFDataDominantLanguageDetectionJobProperties0$fHashableDominantLanguageDetectionJobProperties0$fFromJSONDominantLanguageDetectionJobProperties*$fEqDominantLanguageDetectionJobProperties,$fReadDominantLanguageDetectionJobProperties,$fShowDominantLanguageDetectionJobProperties/$fGenericDominantLanguageDetectionJobProperties DocumentClassifierProperties DocumentClassifierProperties'5$sel:classifierMetadata:DocumentClassifierProperties'4$sel:dataAccessRoleArn:DocumentClassifierProperties'8$sel:documentClassifierArn:DocumentClassifierProperties'*$sel:endTime:DocumentClassifierProperties'2$sel:inputDataConfig:DocumentClassifierProperties'/$sel:languageCode:DocumentClassifierProperties'*$sel:message:DocumentClassifierProperties''$sel:mode:DocumentClassifierProperties'0$sel:modelKmsKeyId:DocumentClassifierProperties'3$sel:outputDataConfig:DocumentClassifierProperties'1$sel:sourceModelArn:DocumentClassifierProperties')$sel:status:DocumentClassifierProperties'-$sel:submitTime:DocumentClassifierProperties'2$sel:trainingEndTime:DocumentClassifierProperties'4$sel:trainingStartTime:DocumentClassifierProperties'.$sel:versionName:DocumentClassifierProperties'1$sel:volumeKmsKeyId:DocumentClassifierProperties',$sel:vpcConfig:DocumentClassifierProperties' newDocumentClassifierProperties/documentClassifierProperties_classifierMetadata.documentClassifierProperties_dataAccessRoleArn2documentClassifierProperties_documentClassifierArn$documentClassifierProperties_endTime,documentClassifierProperties_inputDataConfig)documentClassifierProperties_languageCode$documentClassifierProperties_message!documentClassifierProperties_mode*documentClassifierProperties_modelKmsKeyId-documentClassifierProperties_outputDataConfig+documentClassifierProperties_sourceModelArn#documentClassifierProperties_status'documentClassifierProperties_submitTime,documentClassifierProperties_trainingEndTime.documentClassifierProperties_trainingStartTime(documentClassifierProperties_versionName+documentClassifierProperties_volumeKmsKeyId&documentClassifierProperties_vpcConfig$$fNFDataDocumentClassifierProperties&$fHashableDocumentClassifierProperties&$fFromJSONDocumentClassifierProperties $fEqDocumentClassifierProperties"$fShowDocumentClassifierProperties%$fGenericDocumentClassifierProperties#DocumentClassificationJobProperties$DocumentClassificationJobProperties';$sel:dataAccessRoleArn:DocumentClassificationJobProperties'?$sel:documentClassifierArn:DocumentClassificationJobProperties'1$sel:endTime:DocumentClassificationJobProperties'9$sel:inputDataConfig:DocumentClassificationJobProperties'0$sel:jobArn:DocumentClassificationJobProperties'/$sel:jobId:DocumentClassificationJobProperties'1$sel:jobName:DocumentClassificationJobProperties'3$sel:jobStatus:DocumentClassificationJobProperties'1$sel:message:DocumentClassificationJobProperties':$sel:outputDataConfig:DocumentClassificationJobProperties'4$sel:submitTime:DocumentClassificationJobProperties'8$sel:volumeKmsKeyId:DocumentClassificationJobProperties'3$sel:vpcConfig:DocumentClassificationJobProperties'&newDocumentClassificationJobProperties5documentClassificationJobProperties_dataAccessRoleArn9documentClassificationJobProperties_documentClassifierArn+documentClassificationJobProperties_endTime3documentClassificationJobProperties_inputDataConfig*documentClassificationJobProperties_jobArn)documentClassificationJobProperties_jobId+documentClassificationJobProperties_jobName-documentClassificationJobProperties_jobStatus+documentClassificationJobProperties_message4documentClassificationJobProperties_outputDataConfig.documentClassificationJobProperties_submitTime2documentClassificationJobProperties_volumeKmsKeyId-documentClassificationJobProperties_vpcConfig+$fNFDataDocumentClassificationJobProperties-$fHashableDocumentClassificationJobProperties-$fFromJSONDocumentClassificationJobProperties'$fEqDocumentClassificationJobProperties)$fReadDocumentClassificationJobProperties)$fShowDocumentClassificationJobProperties,$fGenericDocumentClassificationJobPropertiesdefaultService _BatchSizeLimitExceededException _ConcurrentModificationException_InternalServerException_InvalidFilterException_InvalidRequestException_JobNotFoundException_KmsKeyValidationException_ResourceInUseException _ResourceLimitExceededException_ResourceNotFoundException _ResourceUnavailableException _TextSizeLimitExceededException_TooManyRequestsException_TooManyTagKeysException_TooManyTagsException _UnsupportedLanguageExceptionTagResourceResponseTagResourceResponse'$$sel:httpStatus:TagResourceResponse' TagResource TagResource' $sel:resourceArn:TagResource'$sel:tags:TagResource'newTagResourcetagResource_resourceArntagResource_tagsnewTagResourceResponse tagResourceResponse_httpStatus$fToQueryTagResource$fToPathTagResource$fToJSONTagResource$fToHeadersTagResource$fNFDataTagResource$fHashableTagResource$fNFDataTagResourceResponse$fAWSRequestTagResource$fEqTagResourceResponse$fReadTagResourceResponse$fShowTagResourceResponse $fGenericTagResourceResponse$fEqTagResource$fReadTagResource$fShowTagResource$fGenericTagResource$StopTrainingEntityRecognizerResponse%StopTrainingEntityRecognizerResponse'5$sel:httpStatus:StopTrainingEntityRecognizerResponse' StopTrainingEntityRecognizer StopTrainingEntityRecognizer'6$sel:entityRecognizerArn:StopTrainingEntityRecognizer' newStopTrainingEntityRecognizer0stopTrainingEntityRecognizer_entityRecognizerArn'newStopTrainingEntityRecognizerResponse/stopTrainingEntityRecognizerResponse_httpStatus%$fToQueryStopTrainingEntityRecognizer$$fToPathStopTrainingEntityRecognizer$$fToJSONStopTrainingEntityRecognizer'$fToHeadersStopTrainingEntityRecognizer$$fNFDataStopTrainingEntityRecognizer&$fHashableStopTrainingEntityRecognizer,$fNFDataStopTrainingEntityRecognizerResponse($fAWSRequestStopTrainingEntityRecognizer($fEqStopTrainingEntityRecognizerResponse*$fReadStopTrainingEntityRecognizerResponse*$fShowStopTrainingEntityRecognizerResponse-$fGenericStopTrainingEntityRecognizerResponse $fEqStopTrainingEntityRecognizer"$fReadStopTrainingEntityRecognizer"$fShowStopTrainingEntityRecognizer%$fGenericStopTrainingEntityRecognizer&StopTrainingDocumentClassifierResponse'StopTrainingDocumentClassifierResponse'7$sel:httpStatus:StopTrainingDocumentClassifierResponse' StopTrainingDocumentClassifier StopTrainingDocumentClassifier':$sel:documentClassifierArn:StopTrainingDocumentClassifier'!newStopTrainingDocumentClassifier4stopTrainingDocumentClassifier_documentClassifierArn)newStopTrainingDocumentClassifierResponse1stopTrainingDocumentClassifierResponse_httpStatus'$fToQueryStopTrainingDocumentClassifier&$fToPathStopTrainingDocumentClassifier&$fToJSONStopTrainingDocumentClassifier)$fToHeadersStopTrainingDocumentClassifier&$fNFDataStopTrainingDocumentClassifier($fHashableStopTrainingDocumentClassifier.$fNFDataStopTrainingDocumentClassifierResponse*$fAWSRequestStopTrainingDocumentClassifier*$fEqStopTrainingDocumentClassifierResponse,$fReadStopTrainingDocumentClassifierResponse,$fShowStopTrainingDocumentClassifierResponse/$fGenericStopTrainingDocumentClassifierResponse"$fEqStopTrainingDocumentClassifier$$fReadStopTrainingDocumentClassifier$$fShowStopTrainingDocumentClassifier'$fGenericStopTrainingDocumentClassifier)StopTargetedSentimentDetectionJobResponse*StopTargetedSentimentDetectionJobResponse'5$sel:jobId:StopTargetedSentimentDetectionJobResponse'9$sel:jobStatus:StopTargetedSentimentDetectionJobResponse':$sel:httpStatus:StopTargetedSentimentDetectionJobResponse'!StopTargetedSentimentDetectionJob"StopTargetedSentimentDetectionJob'-$sel:jobId:StopTargetedSentimentDetectionJob'$newStopTargetedSentimentDetectionJob'stopTargetedSentimentDetectionJob_jobId,newStopTargetedSentimentDetectionJobResponse/stopTargetedSentimentDetectionJobResponse_jobId3stopTargetedSentimentDetectionJobResponse_jobStatus4stopTargetedSentimentDetectionJobResponse_httpStatus*$fToQueryStopTargetedSentimentDetectionJob)$fToPathStopTargetedSentimentDetectionJob)$fToJSONStopTargetedSentimentDetectionJob,$fToHeadersStopTargetedSentimentDetectionJob)$fNFDataStopTargetedSentimentDetectionJob+$fHashableStopTargetedSentimentDetectionJob1$fNFDataStopTargetedSentimentDetectionJobResponse-$fAWSRequestStopTargetedSentimentDetectionJob-$fEqStopTargetedSentimentDetectionJobResponse/$fReadStopTargetedSentimentDetectionJobResponse/$fShowStopTargetedSentimentDetectionJobResponse2$fGenericStopTargetedSentimentDetectionJobResponse%$fEqStopTargetedSentimentDetectionJob'$fReadStopTargetedSentimentDetectionJob'$fShowStopTargetedSentimentDetectionJob*$fGenericStopTargetedSentimentDetectionJob!StopSentimentDetectionJobResponse"StopSentimentDetectionJobResponse'-$sel:jobId:StopSentimentDetectionJobResponse'1$sel:jobStatus:StopSentimentDetectionJobResponse'2$sel:httpStatus:StopSentimentDetectionJobResponse'StopSentimentDetectionJobStopSentimentDetectionJob'%$sel:jobId:StopSentimentDetectionJob' newStopSentimentDetectionJob stopSentimentDetectionJob_jobId$newStopSentimentDetectionJobResponse'stopSentimentDetectionJobResponse_jobId+stopSentimentDetectionJobResponse_jobStatus,stopSentimentDetectionJobResponse_httpStatus"$fToQueryStopSentimentDetectionJob!$fToPathStopSentimentDetectionJob!$fToJSONStopSentimentDetectionJob$$fToHeadersStopSentimentDetectionJob!$fNFDataStopSentimentDetectionJob#$fHashableStopSentimentDetectionJob)$fNFDataStopSentimentDetectionJobResponse%$fAWSRequestStopSentimentDetectionJob%$fEqStopSentimentDetectionJobResponse'$fReadStopSentimentDetectionJobResponse'$fShowStopSentimentDetectionJobResponse*$fGenericStopSentimentDetectionJobResponse $fEqStopSentimentDetectionJob $fReadStopSentimentDetectionJob $fShowStopSentimentDetectionJob"$fGenericStopSentimentDetectionJob#StopPiiEntitiesDetectionJobResponse$StopPiiEntitiesDetectionJobResponse'/$sel:jobId:StopPiiEntitiesDetectionJobResponse'3$sel:jobStatus:StopPiiEntitiesDetectionJobResponse'4$sel:httpStatus:StopPiiEntitiesDetectionJobResponse'StopPiiEntitiesDetectionJob StopPiiEntitiesDetectionJob''$sel:jobId:StopPiiEntitiesDetectionJob' newStopPiiEntitiesDetectionJob!stopPiiEntitiesDetectionJob_jobId&newStopPiiEntitiesDetectionJobResponse)stopPiiEntitiesDetectionJobResponse_jobId-stopPiiEntitiesDetectionJobResponse_jobStatus.stopPiiEntitiesDetectionJobResponse_httpStatus$$fToQueryStopPiiEntitiesDetectionJob#$fToPathStopPiiEntitiesDetectionJob#$fToJSONStopPiiEntitiesDetectionJob&$fToHeadersStopPiiEntitiesDetectionJob#$fNFDataStopPiiEntitiesDetectionJob%$fHashableStopPiiEntitiesDetectionJob+$fNFDataStopPiiEntitiesDetectionJobResponse'$fAWSRequestStopPiiEntitiesDetectionJob'$fEqStopPiiEntitiesDetectionJobResponse)$fReadStopPiiEntitiesDetectionJobResponse)$fShowStopPiiEntitiesDetectionJobResponse,$fGenericStopPiiEntitiesDetectionJobResponse $fEqStopPiiEntitiesDetectionJob!$fReadStopPiiEntitiesDetectionJob!$fShowStopPiiEntitiesDetectionJob$$fGenericStopPiiEntitiesDetectionJob"StopKeyPhrasesDetectionJobResponse#StopKeyPhrasesDetectionJobResponse'.$sel:jobId:StopKeyPhrasesDetectionJobResponse'2$sel:jobStatus:StopKeyPhrasesDetectionJobResponse'3$sel:httpStatus:StopKeyPhrasesDetectionJobResponse'StopKeyPhrasesDetectionJobStopKeyPhrasesDetectionJob'&$sel:jobId:StopKeyPhrasesDetectionJob' newStopKeyPhrasesDetectionJob stopKeyPhrasesDetectionJob_jobId%newStopKeyPhrasesDetectionJobResponse(stopKeyPhrasesDetectionJobResponse_jobId,stopKeyPhrasesDetectionJobResponse_jobStatus-stopKeyPhrasesDetectionJobResponse_httpStatus#$fToQueryStopKeyPhrasesDetectionJob"$fToPathStopKeyPhrasesDetectionJob"$fToJSONStopKeyPhrasesDetectionJob%$fToHeadersStopKeyPhrasesDetectionJob"$fNFDataStopKeyPhrasesDetectionJob$$fHashableStopKeyPhrasesDetectionJob*$fNFDataStopKeyPhrasesDetectionJobResponse&$fAWSRequestStopKeyPhrasesDetectionJob&$fEqStopKeyPhrasesDetectionJobResponse($fReadStopKeyPhrasesDetectionJobResponse($fShowStopKeyPhrasesDetectionJobResponse+$fGenericStopKeyPhrasesDetectionJobResponse $fEqStopKeyPhrasesDetectionJob $fReadStopKeyPhrasesDetectionJob $fShowStopKeyPhrasesDetectionJob#$fGenericStopKeyPhrasesDetectionJob StopEventsDetectionJobResponse StopEventsDetectionJobResponse'*$sel:jobId:StopEventsDetectionJobResponse'.$sel:jobStatus:StopEventsDetectionJobResponse'/$sel:httpStatus:StopEventsDetectionJobResponse'StopEventsDetectionJobStopEventsDetectionJob'"$sel:jobId:StopEventsDetectionJob'newStopEventsDetectionJob stopEventsDetectionJob_jobId!newStopEventsDetectionJobResponse$stopEventsDetectionJobResponse_jobId(stopEventsDetectionJobResponse_jobStatus)stopEventsDetectionJobResponse_httpStatus $fToQueryStopEventsDetectionJob $fToPathStopEventsDetectionJob $fToJSONStopEventsDetectionJob!$fToHeadersStopEventsDetectionJob $fNFDataStopEventsDetectionJob $fHashableStopEventsDetectionJob&$fNFDataStopEventsDetectionJobResponse"$fAWSRequestStopEventsDetectionJob"$fEqStopEventsDetectionJobResponse$$fReadStopEventsDetectionJobResponse$$fShowStopEventsDetectionJobResponse'$fGenericStopEventsDetectionJobResponse$fEqStopEventsDetectionJob $fReadStopEventsDetectionJob $fShowStopEventsDetectionJob $fGenericStopEventsDetectionJob StopEntitiesDetectionJobResponse!StopEntitiesDetectionJobResponse',$sel:jobId:StopEntitiesDetectionJobResponse'0$sel:jobStatus:StopEntitiesDetectionJobResponse'1$sel:httpStatus:StopEntitiesDetectionJobResponse'StopEntitiesDetectionJobStopEntitiesDetectionJob'$$sel:jobId:StopEntitiesDetectionJob'newStopEntitiesDetectionJob stopEntitiesDetectionJob_jobId#newStopEntitiesDetectionJobResponse&stopEntitiesDetectionJobResponse_jobId*stopEntitiesDetectionJobResponse_jobStatus+stopEntitiesDetectionJobResponse_httpStatus!$fToQueryStopEntitiesDetectionJob $fToPathStopEntitiesDetectionJob $fToJSONStopEntitiesDetectionJob#$fToHeadersStopEntitiesDetectionJob $fNFDataStopEntitiesDetectionJob"$fHashableStopEntitiesDetectionJob($fNFDataStopEntitiesDetectionJobResponse$$fAWSRequestStopEntitiesDetectionJob$$fEqStopEntitiesDetectionJobResponse&$fReadStopEntitiesDetectionJobResponse&$fShowStopEntitiesDetectionJobResponse)$fGenericStopEntitiesDetectionJobResponse $fEqStopEntitiesDetectionJob $fReadStopEntitiesDetectionJob $fShowStopEntitiesDetectionJob!$fGenericStopEntitiesDetectionJob(StopDominantLanguageDetectionJobResponse)StopDominantLanguageDetectionJobResponse'4$sel:jobId:StopDominantLanguageDetectionJobResponse'8$sel:jobStatus:StopDominantLanguageDetectionJobResponse'9$sel:httpStatus:StopDominantLanguageDetectionJobResponse' StopDominantLanguageDetectionJob!StopDominantLanguageDetectionJob',$sel:jobId:StopDominantLanguageDetectionJob'#newStopDominantLanguageDetectionJob&stopDominantLanguageDetectionJob_jobId+newStopDominantLanguageDetectionJobResponse.stopDominantLanguageDetectionJobResponse_jobId2stopDominantLanguageDetectionJobResponse_jobStatus3stopDominantLanguageDetectionJobResponse_httpStatus)$fToQueryStopDominantLanguageDetectionJob($fToPathStopDominantLanguageDetectionJob($fToJSONStopDominantLanguageDetectionJob+$fToHeadersStopDominantLanguageDetectionJob($fNFDataStopDominantLanguageDetectionJob*$fHashableStopDominantLanguageDetectionJob0$fNFDataStopDominantLanguageDetectionJobResponse,$fAWSRequestStopDominantLanguageDetectionJob,$fEqStopDominantLanguageDetectionJobResponse.$fReadStopDominantLanguageDetectionJobResponse.$fShowStopDominantLanguageDetectionJobResponse1$fGenericStopDominantLanguageDetectionJobResponse$$fEqStopDominantLanguageDetectionJob&$fReadStopDominantLanguageDetectionJob&$fShowStopDominantLanguageDetectionJob)$fGenericStopDominantLanguageDetectionJob StartTopicsDetectionJobResponse StartTopicsDetectionJobResponse',$sel:jobArn:StartTopicsDetectionJobResponse'+$sel:jobId:StartTopicsDetectionJobResponse'/$sel:jobStatus:StartTopicsDetectionJobResponse'0$sel:httpStatus:StartTopicsDetectionJobResponse'StartTopicsDetectionJobStartTopicsDetectionJob'0$sel:clientRequestToken:StartTopicsDetectionJob'%$sel:jobName:StartTopicsDetectionJob',$sel:numberOfTopics:StartTopicsDetectionJob'"$sel:tags:StartTopicsDetectionJob',$sel:volumeKmsKeyId:StartTopicsDetectionJob''$sel:vpcConfig:StartTopicsDetectionJob'-$sel:inputDataConfig:StartTopicsDetectionJob'.$sel:outputDataConfig:StartTopicsDetectionJob'/$sel:dataAccessRoleArn:StartTopicsDetectionJob'newStartTopicsDetectionJob*startTopicsDetectionJob_clientRequestToken startTopicsDetectionJob_jobName&startTopicsDetectionJob_numberOfTopics startTopicsDetectionJob_tags&startTopicsDetectionJob_volumeKmsKeyId!startTopicsDetectionJob_vpcConfig'startTopicsDetectionJob_inputDataConfig(startTopicsDetectionJob_outputDataConfig)startTopicsDetectionJob_dataAccessRoleArn"newStartTopicsDetectionJobResponse&startTopicsDetectionJobResponse_jobArn%startTopicsDetectionJobResponse_jobId)startTopicsDetectionJobResponse_jobStatus*startTopicsDetectionJobResponse_httpStatus $fToQueryStartTopicsDetectionJob $fToPathStartTopicsDetectionJob $fToJSONStartTopicsDetectionJob"$fToHeadersStartTopicsDetectionJob $fNFDataStartTopicsDetectionJob!$fHashableStartTopicsDetectionJob'$fNFDataStartTopicsDetectionJobResponse#$fAWSRequestStartTopicsDetectionJob#$fEqStartTopicsDetectionJobResponse%$fReadStartTopicsDetectionJobResponse%$fShowStartTopicsDetectionJobResponse($fGenericStartTopicsDetectionJobResponse$fEqStartTopicsDetectionJob $fReadStartTopicsDetectionJob $fShowStartTopicsDetectionJob 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newListEntityRecognizersResponse$sel:httpStatus:DescribeTargetedSentimentDetectionJobResponse'%DescribeTargetedSentimentDetectionJob&DescribeTargetedSentimentDetectionJob'1$sel:jobId:DescribeTargetedSentimentDetectionJob'(newDescribeTargetedSentimentDetectionJob+describeTargetedSentimentDetectionJob_jobId0newDescribeTargetedSentimentDetectionJobResponse describeTargetedSentimentDetectionJobResponse_targetedSentimentDetectionJobProperties8describeTargetedSentimentDetectionJobResponse_httpStatus.$fToQueryDescribeTargetedSentimentDetectionJob-$fToPathDescribeTargetedSentimentDetectionJob-$fToJSONDescribeTargetedSentimentDetectionJob0$fToHeadersDescribeTargetedSentimentDetectionJob-$fNFDataDescribeTargetedSentimentDetectionJob/$fHashableDescribeTargetedSentimentDetectionJob5$fNFDataDescribeTargetedSentimentDetectionJobResponse1$fAWSRequestDescribeTargetedSentimentDetectionJob1$fEqDescribeTargetedSentimentDetectionJobResponse3$fReadDescribeTargetedSentimentDetectionJobResponse3$fShowDescribeTargetedSentimentDetectionJobResponse6$fGenericDescribeTargetedSentimentDetectionJobResponse)$fEqDescribeTargetedSentimentDetectionJob+$fReadDescribeTargetedSentimentDetectionJob+$fShowDescribeTargetedSentimentDetectionJob.$fGenericDescribeTargetedSentimentDetectionJob%DescribeSentimentDetectionJobResponse&DescribeSentimentDetectionJobResponse' $sel:sentimentDetectionJobProperties:DescribeSentimentDetectionJobResponse'6$sel:httpStatus:DescribeSentimentDetectionJobResponse' DescribeSentimentDetectionJob DescribeSentimentDetectionJob')$sel:jobId:DescribeSentimentDetectionJob' newDescribeSentimentDetectionJob#describeSentimentDetectionJob_jobId(newDescribeSentimentDetectionJobResponse describeSentimentDetectionJobResponse_sentimentDetectionJobProperties0describeSentimentDetectionJobResponse_httpStatus&$fToQueryDescribeSentimentDetectionJob%$fToPathDescribeSentimentDetectionJob%$fToJSONDescribeSentimentDetectionJob($fToHeadersDescribeSentimentDetectionJob%$fNFDataDescribeSentimentDetectionJob'$fHashableDescribeSentimentDetectionJob-$fNFDataDescribeSentimentDetectionJobResponse)$fAWSRequestDescribeSentimentDetectionJob)$fEqDescribeSentimentDetectionJobResponse+$fReadDescribeSentimentDetectionJobResponse+$fShowDescribeSentimentDetectionJobResponse.$fGenericDescribeSentimentDetectionJobResponse!$fEqDescribeSentimentDetectionJob#$fReadDescribeSentimentDetectionJob#$fShowDescribeSentimentDetectionJob&$fGenericDescribeSentimentDetectionJob DescribeResourcePolicyResponse 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describePiiEntitiesDetectionJobResponse_piiEntitiesDetectionJobProperties2describePiiEntitiesDetectionJobResponse_httpStatus($fToQueryDescribePiiEntitiesDetectionJob'$fToPathDescribePiiEntitiesDetectionJob'$fToJSONDescribePiiEntitiesDetectionJob*$fToHeadersDescribePiiEntitiesDetectionJob'$fNFDataDescribePiiEntitiesDetectionJob)$fHashableDescribePiiEntitiesDetectionJob/$fNFDataDescribePiiEntitiesDetectionJobResponse+$fAWSRequestDescribePiiEntitiesDetectionJob+$fEqDescribePiiEntitiesDetectionJobResponse-$fReadDescribePiiEntitiesDetectionJobResponse-$fShowDescribePiiEntitiesDetectionJobResponse0$fGenericDescribePiiEntitiesDetectionJobResponse#$fEqDescribePiiEntitiesDetectionJob%$fReadDescribePiiEntitiesDetectionJob%$fShowDescribePiiEntitiesDetectionJob($fGenericDescribePiiEntitiesDetectionJob&DescribeKeyPhrasesDetectionJobResponse'DescribeKeyPhrasesDetectionJobResponse' $sel:keyPhrasesDetectionJobProperties:DescribeKeyPhrasesDetectionJobResponse'7$sel:httpStatus:DescribeKeyPhrasesDetectionJobResponse' DescribeKeyPhrasesDetectionJob DescribeKeyPhrasesDetectionJob'*$sel:jobId:DescribeKeyPhrasesDetectionJob'!newDescribeKeyPhrasesDetectionJob$describeKeyPhrasesDetectionJob_jobId)newDescribeKeyPhrasesDetectionJobResponse describeKeyPhrasesDetectionJobResponse_keyPhrasesDetectionJobProperties1describeKeyPhrasesDetectionJobResponse_httpStatus'$fToQueryDescribeKeyPhrasesDetectionJob&$fToPathDescribeKeyPhrasesDetectionJob&$fToJSONDescribeKeyPhrasesDetectionJob)$fToHeadersDescribeKeyPhrasesDetectionJob&$fNFDataDescribeKeyPhrasesDetectionJob($fHashableDescribeKeyPhrasesDetectionJob.$fNFDataDescribeKeyPhrasesDetectionJobResponse*$fAWSRequestDescribeKeyPhrasesDetectionJob*$fEqDescribeKeyPhrasesDetectionJobResponse,$fReadDescribeKeyPhrasesDetectionJobResponse,$fShowDescribeKeyPhrasesDetectionJobResponse/$fGenericDescribeKeyPhrasesDetectionJobResponse"$fEqDescribeKeyPhrasesDetectionJob$$fReadDescribeKeyPhrasesDetectionJob$$fShowDescribeKeyPhrasesDetectionJob'$fGenericDescribeKeyPhrasesDetectionJob"DescribeEventsDetectionJobResponse#DescribeEventsDetectionJobResponse' $sel:eventsDetectionJobProperties:DescribeEventsDetectionJobResponse'3$sel:httpStatus:DescribeEventsDetectionJobResponse'DescribeEventsDetectionJobDescribeEventsDetectionJob'&$sel:jobId:DescribeEventsDetectionJob' newDescribeEventsDetectionJob describeEventsDetectionJob_jobId%newDescribeEventsDetectionJobResponse?describeEventsDetectionJobResponse_eventsDetectionJobProperties-describeEventsDetectionJobResponse_httpStatus#$fToQueryDescribeEventsDetectionJob"$fToPathDescribeEventsDetectionJob"$fToJSONDescribeEventsDetectionJob%$fToHeadersDescribeEventsDetectionJob"$fNFDataDescribeEventsDetectionJob$$fHashableDescribeEventsDetectionJob*$fNFDataDescribeEventsDetectionJobResponse&$fAWSRequestDescribeEventsDetectionJob&$fEqDescribeEventsDetectionJobResponse($fReadDescribeEventsDetectionJobResponse($fShowDescribeEventsDetectionJobResponse+$fGenericDescribeEventsDetectionJobResponse $fEqDescribeEventsDetectionJob $fReadDescribeEventsDetectionJob $fShowDescribeEventsDetectionJob#$fGenericDescribeEventsDetectionJob DescribeEntityRecognizerResponse!DescribeEntityRecognizerResponse' $sel:entityRecognizerProperties:DescribeEntityRecognizerResponse'1$sel:httpStatus:DescribeEntityRecognizerResponse'DescribeEntityRecognizerDescribeEntityRecognizer'2$sel:entityRecognizerArn:DescribeEntityRecognizer'newDescribeEntityRecognizer,describeEntityRecognizer_entityRecognizerArn#newDescribeEntityRecognizerResponse;describeEntityRecognizerResponse_entityRecognizerProperties+describeEntityRecognizerResponse_httpStatus!$fToQueryDescribeEntityRecognizer $fToPathDescribeEntityRecognizer $fToJSONDescribeEntityRecognizer#$fToHeadersDescribeEntityRecognizer $fNFDataDescribeEntityRecognizer"$fHashableDescribeEntityRecognizer($fNFDataDescribeEntityRecognizerResponse$$fAWSRequestDescribeEntityRecognizer$$fEqDescribeEntityRecognizerResponse&$fShowDescribeEntityRecognizerResponse)$fGenericDescribeEntityRecognizerResponse $fEqDescribeEntityRecognizer $fReadDescribeEntityRecognizer $fShowDescribeEntityRecognizer!$fGenericDescribeEntityRecognizer$DescribeEntitiesDetectionJobResponse%DescribeEntitiesDetectionJobResponse' $sel:entitiesDetectionJobProperties:DescribeEntitiesDetectionJobResponse'5$sel:httpStatus:DescribeEntitiesDetectionJobResponse' DescribeEntitiesDetectionJob DescribeEntitiesDetectionJob'($sel:jobId:DescribeEntitiesDetectionJob' newDescribeEntitiesDetectionJob"describeEntitiesDetectionJob_jobId'newDescribeEntitiesDetectionJobResponse describeEntitiesDetectionJobResponse_entitiesDetectionJobProperties/describeEntitiesDetectionJobResponse_httpStatus%$fToQueryDescribeEntitiesDetectionJob$$fToPathDescribeEntitiesDetectionJob$$fToJSONDescribeEntitiesDetectionJob'$fToHeadersDescribeEntitiesDetectionJob$$fNFDataDescribeEntitiesDetectionJob&$fHashableDescribeEntitiesDetectionJob,$fNFDataDescribeEntitiesDetectionJobResponse($fAWSRequestDescribeEntitiesDetectionJob($fEqDescribeEntitiesDetectionJobResponse*$fReadDescribeEntitiesDetectionJobResponse*$fShowDescribeEntitiesDetectionJobResponse-$fGenericDescribeEntitiesDetectionJobResponse $fEqDescribeEntitiesDetectionJob"$fReadDescribeEntitiesDetectionJob"$fShowDescribeEntitiesDetectionJob%$fGenericDescribeEntitiesDetectionJobDescribeEndpointResponseDescribeEndpointResponse'1$sel:endpointProperties:DescribeEndpointResponse')$sel:httpStatus:DescribeEndpointResponse'DescribeEndpointDescribeEndpoint'"$sel:endpointArn:DescribeEndpoint'newDescribeEndpoint describeEndpoint_endpointArnnewDescribeEndpointResponse+describeEndpointResponse_endpointProperties#describeEndpointResponse_httpStatus$fToQueryDescribeEndpoint$fToPathDescribeEndpoint$fToJSONDescribeEndpoint$fToHeadersDescribeEndpoint$fNFDataDescribeEndpoint$fHashableDescribeEndpoint $fNFDataDescribeEndpointResponse $fAWSRequestDescribeEndpoint $fEqDescribeEndpointResponse $fReadDescribeEndpointResponse $fShowDescribeEndpointResponse!$fGenericDescribeEndpointResponse$fEqDescribeEndpoint$fReadDescribeEndpoint$fShowDescribeEndpoint$fGenericDescribeEndpoint,DescribeDominantLanguageDetectionJobResponse-DescribeDominantLanguageDetectionJobResponse' $sel:dominantLanguageDetectionJobProperties:DescribeDominantLanguageDetectionJobResponse'=$sel:httpStatus:DescribeDominantLanguageDetectionJobResponse'$DescribeDominantLanguageDetectionJob%DescribeDominantLanguageDetectionJob'0$sel:jobId:DescribeDominantLanguageDetectionJob''newDescribeDominantLanguageDetectionJob*describeDominantLanguageDetectionJob_jobId/newDescribeDominantLanguageDetectionJobResponse describeDominantLanguageDetectionJobResponse_dominantLanguageDetectionJobProperties7describeDominantLanguageDetectionJobResponse_httpStatus-$fToQueryDescribeDominantLanguageDetectionJob,$fToPathDescribeDominantLanguageDetectionJob,$fToJSONDescribeDominantLanguageDetectionJob/$fToHeadersDescribeDominantLanguageDetectionJob,$fNFDataDescribeDominantLanguageDetectionJob.$fHashableDescribeDominantLanguageDetectionJob4$fNFDataDescribeDominantLanguageDetectionJobResponse0$fAWSRequestDescribeDominantLanguageDetectionJob0$fEqDescribeDominantLanguageDetectionJobResponse2$fReadDescribeDominantLanguageDetectionJobResponse2$fShowDescribeDominantLanguageDetectionJobResponse5$fGenericDescribeDominantLanguageDetectionJobResponse($fEqDescribeDominantLanguageDetectionJob*$fReadDescribeDominantLanguageDetectionJob*$fShowDescribeDominantLanguageDetectionJob-$fGenericDescribeDominantLanguageDetectionJob"DescribeDocumentClassifierResponse#DescribeDocumentClassifierResponse' $sel:documentClassifierProperties:DescribeDocumentClassifierResponse'3$sel:httpStatus:DescribeDocumentClassifierResponse'DescribeDocumentClassifierDescribeDocumentClassifier'6$sel:documentClassifierArn:DescribeDocumentClassifier' newDescribeDocumentClassifier0describeDocumentClassifier_documentClassifierArn%newDescribeDocumentClassifierResponse?describeDocumentClassifierResponse_documentClassifierProperties-describeDocumentClassifierResponse_httpStatus#$fToQueryDescribeDocumentClassifier"$fToPathDescribeDocumentClassifier"$fToJSONDescribeDocumentClassifier%$fToHeadersDescribeDocumentClassifier"$fNFDataDescribeDocumentClassifier$$fHashableDescribeDocumentClassifier*$fNFDataDescribeDocumentClassifierResponse&$fAWSRequestDescribeDocumentClassifier&$fEqDescribeDocumentClassifierResponse($fShowDescribeDocumentClassifierResponse+$fGenericDescribeDocumentClassifierResponse $fEqDescribeDocumentClassifier $fReadDescribeDocumentClassifier $fShowDescribeDocumentClassifier#$fGenericDescribeDocumentClassifier)DescribeDocumentClassificationJobResponse*DescribeDocumentClassificationJobResponse' $sel:documentClassificationJobProperties:DescribeDocumentClassificationJobResponse':$sel:httpStatus:DescribeDocumentClassificationJobResponse'!DescribeDocumentClassificationJob"DescribeDocumentClassificationJob'-$sel:jobId:DescribeDocumentClassificationJob'$newDescribeDocumentClassificationJob'describeDocumentClassificationJob_jobId,newDescribeDocumentClassificationJobResponse describeDocumentClassificationJobResponse_documentClassificationJobProperties4describeDocumentClassificationJobResponse_httpStatus*$fToQueryDescribeDocumentClassificationJob)$fToPathDescribeDocumentClassificationJob)$fToJSONDescribeDocumentClassificationJob,$fToHeadersDescribeDocumentClassificationJob)$fNFDataDescribeDocumentClassificationJob+$fHashableDescribeDocumentClassificationJob1$fNFDataDescribeDocumentClassificationJobResponse-$fAWSRequestDescribeDocumentClassificationJob-$fEqDescribeDocumentClassificationJobResponse/$fReadDescribeDocumentClassificationJobResponse/$fShowDescribeDocumentClassificationJobResponse2$fGenericDescribeDocumentClassificationJobResponse%$fEqDescribeDocumentClassificationJob'$fReadDescribeDocumentClassificationJob'$fShowDescribeDocumentClassificationJob*$fGenericDescribeDocumentClassificationJob DeleteResourcePolicyResponse DeleteResourcePolicyResponse'-$sel:httpStatus:DeleteResourcePolicyResponse'DeleteResourcePolicyDeleteResourcePolicy'+$sel:policyRevisionId:DeleteResourcePolicy'&$sel:resourceArn:DeleteResourcePolicy'newDeleteResourcePolicy%deleteResourcePolicy_policyRevisionId deleteResourcePolicy_resourceArn newDeleteResourcePolicyResponse'deleteResourcePolicyResponse_httpStatus $fToQueryDeleteResourcePolicy $fToPathDeleteResourcePolicy $fToJSONDeleteResourcePolicy $fToHeadersDeleteResourcePolicy $fNFDataDeleteResourcePolicy $fHashableDeleteResourcePolicy$$fNFDataDeleteResourcePolicyResponse $fAWSRequestDeleteResourcePolicy $fEqDeleteResourcePolicyResponse"$fReadDeleteResourcePolicyResponse"$fShowDeleteResourcePolicyResponse%$fGenericDeleteResourcePolicyResponse$fEqDeleteResourcePolicy$fReadDeleteResourcePolicy$fShowDeleteResourcePolicy $fGenericDeleteResourcePolicy DeleteEntityRecognizerResponse DeleteEntityRecognizerResponse'/$sel:httpStatus:DeleteEntityRecognizerResponse'DeleteEntityRecognizerDeleteEntityRecognizer'0$sel:entityRecognizerArn:DeleteEntityRecognizer'newDeleteEntityRecognizer*deleteEntityRecognizer_entityRecognizerArn!newDeleteEntityRecognizerResponse)deleteEntityRecognizerResponse_httpStatus $fToQueryDeleteEntityRecognizer $fToPathDeleteEntityRecognizer $fToJSONDeleteEntityRecognizer!$fToHeadersDeleteEntityRecognizer $fNFDataDeleteEntityRecognizer $fHashableDeleteEntityRecognizer&$fNFDataDeleteEntityRecognizerResponse"$fAWSRequestDeleteEntityRecognizer"$fEqDeleteEntityRecognizerResponse$$fReadDeleteEntityRecognizerResponse$$fShowDeleteEntityRecognizerResponse'$fGenericDeleteEntityRecognizerResponse$fEqDeleteEntityRecognizer $fReadDeleteEntityRecognizer $fShowDeleteEntityRecognizer $fGenericDeleteEntityRecognizerDeleteEndpointResponseDeleteEndpointResponse''$sel:httpStatus:DeleteEndpointResponse'DeleteEndpointDeleteEndpoint' $sel:endpointArn:DeleteEndpoint'newDeleteEndpointdeleteEndpoint_endpointArnnewDeleteEndpointResponse!deleteEndpointResponse_httpStatus$fToQueryDeleteEndpoint$fToPathDeleteEndpoint$fToJSONDeleteEndpoint$fToHeadersDeleteEndpoint$fNFDataDeleteEndpoint$fHashableDeleteEndpoint $fNFDataDeleteEndpointResponse$fAWSRequestDeleteEndpoint$fEqDeleteEndpointResponse $fReadDeleteEndpointResponse $fShowDeleteEndpointResponse $fGenericDeleteEndpointResponse$fEqDeleteEndpoint$fReadDeleteEndpoint$fShowDeleteEndpoint$fGenericDeleteEndpoint DeleteDocumentClassifierResponse!DeleteDocumentClassifierResponse'1$sel:httpStatus:DeleteDocumentClassifierResponse'DeleteDocumentClassifierDeleteDocumentClassifier'4$sel:documentClassifierArn:DeleteDocumentClassifier'newDeleteDocumentClassifier.deleteDocumentClassifier_documentClassifierArn#newDeleteDocumentClassifierResponse+deleteDocumentClassifierResponse_httpStatus!$fToQueryDeleteDocumentClassifier $fToPathDeleteDocumentClassifier $fToJSONDeleteDocumentClassifier#$fToHeadersDeleteDocumentClassifier $fNFDataDeleteDocumentClassifier"$fHashableDeleteDocumentClassifier($fNFDataDeleteDocumentClassifierResponse$$fAWSRequestDeleteDocumentClassifier$$fEqDeleteDocumentClassifierResponse&$fReadDeleteDocumentClassifierResponse&$fShowDeleteDocumentClassifierResponse)$fGenericDeleteDocumentClassifierResponse $fEqDeleteDocumentClassifier $fReadDeleteDocumentClassifier $fShowDeleteDocumentClassifier!$fGenericDeleteDocumentClassifier CreateEntityRecognizerResponse CreateEntityRecognizerResponse'8$sel:entityRecognizerArn:CreateEntityRecognizerResponse'/$sel:httpStatus:CreateEntityRecognizerResponse'CreateEntityRecognizerCreateEntityRecognizer'/$sel:clientRequestToken:CreateEntityRecognizer'*$sel:modelKmsKeyId:CreateEntityRecognizer'($sel:modelPolicy:CreateEntityRecognizer'!$sel:tags:CreateEntityRecognizer'($sel:versionName:CreateEntityRecognizer'+$sel:volumeKmsKeyId:CreateEntityRecognizer'&$sel:vpcConfig:CreateEntityRecognizer'+$sel:recognizerName:CreateEntityRecognizer'.$sel:dataAccessRoleArn:CreateEntityRecognizer',$sel:inputDataConfig:CreateEntityRecognizer')$sel:languageCode:CreateEntityRecognizer'newCreateEntityRecognizer)createEntityRecognizer_clientRequestToken$createEntityRecognizer_modelKmsKeyId"createEntityRecognizer_modelPolicycreateEntityRecognizer_tags"createEntityRecognizer_versionName%createEntityRecognizer_volumeKmsKeyId createEntityRecognizer_vpcConfig%createEntityRecognizer_recognizerName(createEntityRecognizer_dataAccessRoleArn&createEntityRecognizer_inputDataConfig#createEntityRecognizer_languageCode!newCreateEntityRecognizerResponse2createEntityRecognizerResponse_entityRecognizerArn)createEntityRecognizerResponse_httpStatus $fToQueryCreateEntityRecognizer $fToPathCreateEntityRecognizer $fToJSONCreateEntityRecognizer!$fToHeadersCreateEntityRecognizer $fNFDataCreateEntityRecognizer $fHashableCreateEntityRecognizer&$fNFDataCreateEntityRecognizerResponse"$fAWSRequestCreateEntityRecognizer"$fEqCreateEntityRecognizerResponse$$fReadCreateEntityRecognizerResponse$$fShowCreateEntityRecognizerResponse'$fGenericCreateEntityRecognizerResponse$fEqCreateEntityRecognizer $fReadCreateEntityRecognizer $fShowCreateEntityRecognizer $fGenericCreateEntityRecognizerCreateEndpointResponseCreateEndpointResponse'($sel:endpointArn:CreateEndpointResponse''$sel:httpStatus:CreateEndpointResponse'CreateEndpointCreateEndpoint''$sel:clientRequestToken:CreateEndpoint'&$sel:dataAccessRoleArn:CreateEndpoint'$sel:tags:CreateEndpoint'!$sel:endpointName:CreateEndpoint' $sel:modelArn:CreateEndpoint'*$sel:desiredInferenceUnits:CreateEndpoint'newCreateEndpoint!createEndpoint_clientRequestToken createEndpoint_dataAccessRoleArncreateEndpoint_tagscreateEndpoint_endpointNamecreateEndpoint_modelArn$createEndpoint_desiredInferenceUnitsnewCreateEndpointResponse"createEndpointResponse_endpointArn!createEndpointResponse_httpStatus$fToQueryCreateEndpoint$fToPathCreateEndpoint$fToJSONCreateEndpoint$fToHeadersCreateEndpoint$fNFDataCreateEndpoint$fHashableCreateEndpoint $fNFDataCreateEndpointResponse$fAWSRequestCreateEndpoint$fEqCreateEndpointResponse $fReadCreateEndpointResponse $fShowCreateEndpointResponse $fGenericCreateEndpointResponse$fEqCreateEndpoint$fReadCreateEndpoint$fShowCreateEndpoint$fGenericCreateEndpoint CreateDocumentClassifierResponse!CreateDocumentClassifierResponse'<$sel:documentClassifierArn:CreateDocumentClassifierResponse'1$sel:httpStatus:CreateDocumentClassifierResponse'CreateDocumentClassifierCreateDocumentClassifier'1$sel:clientRequestToken:CreateDocumentClassifier'#$sel:mode:CreateDocumentClassifier',$sel:modelKmsKeyId:CreateDocumentClassifier'*$sel:modelPolicy:CreateDocumentClassifier'/$sel:outputDataConfig:CreateDocumentClassifier'#$sel:tags:CreateDocumentClassifier'*$sel:versionName:CreateDocumentClassifier'-$sel:volumeKmsKeyId:CreateDocumentClassifier'($sel:vpcConfig:CreateDocumentClassifier'5$sel:documentClassifierName:CreateDocumentClassifier'0$sel:dataAccessRoleArn:CreateDocumentClassifier'.$sel:inputDataConfig:CreateDocumentClassifier'+$sel:languageCode:CreateDocumentClassifier'newCreateDocumentClassifier+createDocumentClassifier_clientRequestToken createDocumentClassifier_mode&createDocumentClassifier_modelKmsKeyId$createDocumentClassifier_modelPolicy)createDocumentClassifier_outputDataConfig createDocumentClassifier_tags$createDocumentClassifier_versionName'createDocumentClassifier_volumeKmsKeyId"createDocumentClassifier_vpcConfig/createDocumentClassifier_documentClassifierName*createDocumentClassifier_dataAccessRoleArn(createDocumentClassifier_inputDataConfig%createDocumentClassifier_languageCode#newCreateDocumentClassifierResponse6createDocumentClassifierResponse_documentClassifierArn+createDocumentClassifierResponse_httpStatus!$fToQueryCreateDocumentClassifier $fToPathCreateDocumentClassifier $fToJSONCreateDocumentClassifier#$fToHeadersCreateDocumentClassifier $fNFDataCreateDocumentClassifier"$fHashableCreateDocumentClassifier($fNFDataCreateDocumentClassifierResponse$$fAWSRequestCreateDocumentClassifier$$fEqCreateDocumentClassifierResponse&$fReadCreateDocumentClassifierResponse&$fShowCreateDocumentClassifierResponse)$fGenericCreateDocumentClassifierResponse $fEqCreateDocumentClassifier $fReadCreateDocumentClassifier $fShowCreateDocumentClassifier!$fGenericCreateDocumentClassifierContainsPiiEntitiesResponse ContainsPiiEntitiesResponse'($sel:labels:ContainsPiiEntitiesResponse',$sel:httpStatus:ContainsPiiEntitiesResponse'ContainsPiiEntitiesContainsPiiEntities' $sel:text:ContainsPiiEntities'&$sel:languageCode:ContainsPiiEntities'newContainsPiiEntitiescontainsPiiEntities_text containsPiiEntities_languageCode newContainsPiiEntitiesResponse"containsPiiEntitiesResponse_labels&containsPiiEntitiesResponse_httpStatus $fToQueryContainsPiiEntities$fToPathContainsPiiEntities$fToJSONContainsPiiEntities $fToHeadersContainsPiiEntities$fNFDataContainsPiiEntities $fHashableContainsPiiEntities#$fNFDataContainsPiiEntitiesResponse $fAWSRequestContainsPiiEntities $fEqContainsPiiEntitiesResponse!$fReadContainsPiiEntitiesResponse!$fShowContainsPiiEntitiesResponse$$fGenericContainsPiiEntitiesResponse$fEqContainsPiiEntities$fReadContainsPiiEntities$fShowContainsPiiEntities $fGenericContainsPiiEntitiesClassifyDocumentResponseClassifyDocumentResponse'&$sel:classes:ClassifyDocumentResponse'/$sel:documentMetadata:ClassifyDocumentResponse'+$sel:documentType:ClassifyDocumentResponse'%$sel:errors:ClassifyDocumentResponse'%$sel:labels:ClassifyDocumentResponse')$sel:httpStatus:ClassifyDocumentResponse'ClassifyDocumentClassifyDocument' $sel:bytes:ClassifyDocument'+$sel:documentReaderConfig:ClassifyDocument'$sel:text:ClassifyDocument'"$sel:endpointArn:ClassifyDocument'newClassifyDocumentclassifyDocument_bytes%classifyDocument_documentReaderConfigclassifyDocument_text classifyDocument_endpointArnnewClassifyDocumentResponse classifyDocumentResponse_classes)classifyDocumentResponse_documentMetadata%classifyDocumentResponse_documentType classifyDocumentResponse_errors classifyDocumentResponse_labels#classifyDocumentResponse_httpStatus$fToQueryClassifyDocument$fToPathClassifyDocument$fToJSONClassifyDocument$fToHeadersClassifyDocument$fNFDataClassifyDocument$fHashableClassifyDocument $fNFDataClassifyDocumentResponse $fAWSRequestClassifyDocument $fEqClassifyDocumentResponse $fShowClassifyDocumentResponse!$fGenericClassifyDocumentResponse$fEqClassifyDocument$fShowClassifyDocument$fGenericClassifyDocument$BatchDetectTargetedSentimentResponse%BatchDetectTargetedSentimentResponse'5$sel:httpStatus:BatchDetectTargetedSentimentResponse'5$sel:resultList:BatchDetectTargetedSentimentResponse'4$sel:errorList:BatchDetectTargetedSentimentResponse' BatchDetectTargetedSentiment BatchDetectTargetedSentiment'+$sel:textList:BatchDetectTargetedSentiment'/$sel:languageCode:BatchDetectTargetedSentiment' newBatchDetectTargetedSentiment%batchDetectTargetedSentiment_textList)batchDetectTargetedSentiment_languageCode'newBatchDetectTargetedSentimentResponse/batchDetectTargetedSentimentResponse_httpStatus/batchDetectTargetedSentimentResponse_resultList.batchDetectTargetedSentimentResponse_errorList%$fToQueryBatchDetectTargetedSentiment$$fToPathBatchDetectTargetedSentiment$$fToJSONBatchDetectTargetedSentiment'$fToHeadersBatchDetectTargetedSentiment$$fNFDataBatchDetectTargetedSentiment&$fHashableBatchDetectTargetedSentiment,$fNFDataBatchDetectTargetedSentimentResponse($fAWSRequestBatchDetectTargetedSentiment($fEqBatchDetectTargetedSentimentResponse*$fShowBatchDetectTargetedSentimentResponse-$fGenericBatchDetectTargetedSentimentResponse $fEqBatchDetectTargetedSentiment"$fShowBatchDetectTargetedSentiment%$fGenericBatchDetectTargetedSentimentBatchDetectSyntaxResponseBatchDetectSyntaxResponse'*$sel:httpStatus:BatchDetectSyntaxResponse'*$sel:resultList:BatchDetectSyntaxResponse')$sel:errorList:BatchDetectSyntaxResponse'BatchDetectSyntaxBatchDetectSyntax' $sel:textList:BatchDetectSyntax'$$sel:languageCode:BatchDetectSyntax'newBatchDetectSyntaxbatchDetectSyntax_textList batchDetectSyntax_languageCode newBatchDetectSyntaxResponse$batchDetectSyntaxResponse_httpStatus$batchDetectSyntaxResponse_resultList#batchDetectSyntaxResponse_errorList$fToQueryBatchDetectSyntax$fToPathBatchDetectSyntax$fToJSONBatchDetectSyntax $fToHeadersBatchDetectSyntax$fNFDataBatchDetectSyntax$fHashableBatchDetectSyntax!$fNFDataBatchDetectSyntaxResponse $fAWSRequestBatchDetectSyntax $fEqBatchDetectSyntaxResponse $fShowBatchDetectSyntaxResponse"$fGenericBatchDetectSyntaxResponse$fEqBatchDetectSyntax$fShowBatchDetectSyntax$fGenericBatchDetectSyntax 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BatchDetectKeyPhrasesResponse BatchDetectKeyPhrasesResponse'.$sel:httpStatus:BatchDetectKeyPhrasesResponse'.$sel:resultList:BatchDetectKeyPhrasesResponse'-$sel:errorList:BatchDetectKeyPhrasesResponse'BatchDetectKeyPhrasesBatchDetectKeyPhrases'$$sel:textList:BatchDetectKeyPhrases'($sel:languageCode:BatchDetectKeyPhrases'newBatchDetectKeyPhrases batchDetectKeyPhrases_textList"batchDetectKeyPhrases_languageCode newBatchDetectKeyPhrasesResponse(batchDetectKeyPhrasesResponse_httpStatus(batchDetectKeyPhrasesResponse_resultList'batchDetectKeyPhrasesResponse_errorList $fToQueryBatchDetectKeyPhrases $fToPathBatchDetectKeyPhrases $fToJSONBatchDetectKeyPhrases $fToHeadersBatchDetectKeyPhrases $fNFDataBatchDetectKeyPhrases $fHashableBatchDetectKeyPhrases%$fNFDataBatchDetectKeyPhrasesResponse!$fAWSRequestBatchDetectKeyPhrases!$fEqBatchDetectKeyPhrasesResponse#$fShowBatchDetectKeyPhrasesResponse&$fGenericBatchDetectKeyPhrasesResponse$fEqBatchDetectKeyPhrases$fShowBatchDetectKeyPhrases $fGenericBatchDetectKeyPhrasesBatchDetectEntitiesResponse BatchDetectEntitiesResponse',$sel:httpStatus:BatchDetectEntitiesResponse',$sel:resultList:BatchDetectEntitiesResponse'+$sel:errorList:BatchDetectEntitiesResponse'BatchDetectEntitiesBatchDetectEntities'"$sel:textList:BatchDetectEntities'&$sel:languageCode:BatchDetectEntities'newBatchDetectEntities batchDetectEntities_textList batchDetectEntities_languageCode newBatchDetectEntitiesResponse&batchDetectEntitiesResponse_httpStatus&batchDetectEntitiesResponse_resultList%batchDetectEntitiesResponse_errorList $fToQueryBatchDetectEntities$fToPathBatchDetectEntities$fToJSONBatchDetectEntities $fToHeadersBatchDetectEntities$fNFDataBatchDetectEntities $fHashableBatchDetectEntities#$fNFDataBatchDetectEntitiesResponse $fAWSRequestBatchDetectEntities $fEqBatchDetectEntitiesResponse!$fShowBatchDetectEntitiesResponse$$fGenericBatchDetectEntitiesResponse$fEqBatchDetectEntities$fShowBatchDetectEntities $fGenericBatchDetectEntities#BatchDetectDominantLanguageResponse$BatchDetectDominantLanguageResponse'4$sel:httpStatus:BatchDetectDominantLanguageResponse'4$sel:resultList:BatchDetectDominantLanguageResponse'3$sel:errorList:BatchDetectDominantLanguageResponse'BatchDetectDominantLanguage BatchDetectDominantLanguage'*$sel:textList:BatchDetectDominantLanguage' newBatchDetectDominantLanguage$batchDetectDominantLanguage_textList&newBatchDetectDominantLanguageResponse.batchDetectDominantLanguageResponse_httpStatus.batchDetectDominantLanguageResponse_resultList-batchDetectDominantLanguageResponse_errorList$$fToQueryBatchDetectDominantLanguage#$fToPathBatchDetectDominantLanguage#$fToJSONBatchDetectDominantLanguage&$fToHeadersBatchDetectDominantLanguage#$fNFDataBatchDetectDominantLanguage%$fHashableBatchDetectDominantLanguage+$fNFDataBatchDetectDominantLanguageResponse'$fAWSRequestBatchDetectDominantLanguage'$fEqBatchDetectDominantLanguageResponse)$fShowBatchDetectDominantLanguageResponse,$fGenericBatchDetectDominantLanguageResponse $fEqBatchDetectDominantLanguage!$fShowBatchDetectDominantLanguage$$fGenericBatchDetectDominantLanguageUntagResourceResponseUntagResourceResponse'&$sel:httpStatus:UntagResourceResponse'
UntagResourceUntagResource' $sel:resourceArn:UntagResource'$sel:tagKeys:UntagResource'newUntagResourceuntagResource_resourceArnuntagResource_tagKeysnewUntagResourceResponse untagResourceResponse_httpStatus$fToQueryUntagResource$fToPathUntagResource$fToJSONUntagResource$fToHeadersUntagResource$fNFDataUntagResource$fHashableUntagResource $fNFDataUntagResourceResponse$fAWSRequestUntagResource$fEqUntagResourceResponse$fReadUntagResourceResponse$fShowUntagResourceResponse $fGenericUntagResourceResponse$fEqUntagResource$fReadUntagResource$fShowUntagResource$fGenericUntagResourceUpdateEndpointResponseUpdateEndpointResponse''$sel:httpStatus:UpdateEndpointResponse'UpdateEndpointUpdateEndpoint'-$sel:desiredDataAccessRoleArn:UpdateEndpoint'*$sel:desiredInferenceUnits:UpdateEndpoint'$$sel:desiredModelArn:UpdateEndpoint' $sel:endpointArn:UpdateEndpoint'newUpdateEndpoint'updateEndpoint_desiredDataAccessRoleArn$updateEndpoint_desiredInferenceUnits updateEndpoint_desiredModelArnupdateEndpoint_endpointArnnewUpdateEndpointResponse!updateEndpointResponse_httpStatus$fToQueryUpdateEndpoint$fToPathUpdateEndpoint$fToJSONUpdateEndpoint$fToHeadersUpdateEndpoint$fNFDataUpdateEndpoint$fHashableUpdateEndpoint $fNFDataUpdateEndpointResponse$fAWSRequestUpdateEndpoint$fEqUpdateEndpointResponse $fReadUpdateEndpointResponse $fShowUpdateEndpointResponse $fGenericUpdateEndpointResponse$fEqUpdateEndpoint$fReadUpdateEndpoint$fShowUpdateEndpoint$fGenericUpdateEndpoint