# hext This is currently the beginning of a text classification library. ##Installation/Running ```stack install hext``` hackage - https://hackage.haskell.org/package/hext-0.1.0.3 To run: ```stack build``` ```stack exec hext-exe``` ##Usage Currently, the only algorithm implementation is the Naive Bayes algorithm: to run your own data through this algorithm in order to classify your text, you need: - classified data: this can be sourced from a database where the only fields that are needed are the text itself, and it's class - a sample string which will be classified by the algorithm In order to run the program, the classified data specified above must be converted into a ```BayesModel a``` using the ```teach``` function, where ```a``` is your own defined data type representing the class to classify your text. Your class must be and instance of ```Ord``` and ```Eq```. With your new ```BayesModel``` filled with knowledge, it's time to classify your text using ```runBayes```. An example of this can be seen in ```app/Main.hs``` where ```data Class = Positive | Negative deriving (Eq, Ord, Show)``` to label movie reviews as either positive or negative. ##Contributing I encourage contributing to this package, in the form of implementing algorithms that are not yet in the project, improving efficiency, or the like.