swift-lda: Online sampler for Latent Dirichlet Allocation

[ bsd3, library, natural-language-processing ] [ Propose Tags ]

Online Gibbs sampler for Latent Dirichlet Allocation. LDA is a generative admixture model frequently used for topic modeling and other applications. The primary goal of this implementation is to be used for probabilistic soft word class induction. The sampler can be used in an online as well as batch mode. This package uses an imperative implementation in the ST monad.

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Versions [RSS] 0.4.0, 0.4.1,
Dependencies array (>=0.3), base (>=3 && <5), containers (>=0.4), ghc-prim (>=0.2), mwc-random (>=0.12), primitive (>=0.4), vector (>=0.9) [details]
License BSD-3-Clause
Author Grzegorz Chrupała <pitekus@gmail.com>
Maintainer Grzegorz Chrupała <pitekus@gmail.com>
Category Natural Language Processing
Home page https://bitbucket.org/gchrupala/colada
Uploaded by GrzegorzChrupala at 2012-04-01T10:40:33Z
Reverse Dependencies 2 direct, 0 indirect [details]
Downloads 2399 total (8 in the last 30 days)
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Readme for swift-lda-0.4.0

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