colada: Colada implements incremental word class class induction using online LDA

[ bsd3, library, natural-language-processing, program ] [ Propose Tags ] [ Report a vulnerability ]

Colada implements incremental word class class induction using Latent Dirichlet Allocation (LDA) with an Online Gibbs sampler.

Modules

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  • Colada
    • Colada.WordClass
  • NLP
    • NLP.CoNLL

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Versions [RSS] 0.0.1, 0.4.1, 0.4.2, 0.4.3, 0.5.1, 0.5.3, 0.5.5, 0.5.6, 0.7.0.0, 0.8.0.0, 0.8.3.0, 0.8.4.0
Dependencies base (>=3 && <5), bytestring (>=0.9), cereal (>=0.3.5), cmdargs (>=0.9), containers (>=0.4), fclabels (>=1 && <2), ghc-prim (>=0.2), ListZipper (>=1.2), monad-atom (>=0.4.1 && <1), mtl (>=2.0), nlp-scores (>=0.6.3), split (>=0.1.4), swift-lda (>=0.7 && <0.8), text (>=0.11.1), vector (>=0.9) [details]
License BSD-3-Clause
Author Grzegorz Chrupała
Maintainer pitekus@gmail.com
Category Natural Language Processing
Home page https://bitbucket.org/gchrupala/colada
Uploaded by GrzegorzChrupala at 2015-03-02T13:11:26Z
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Reverse Dependencies 1 direct, 0 indirect [details]
Executables colada
Downloads 8871 total (34 in the last 30 days)
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Status Docs not available [build log]
All reported builds failed as of 2016-11-10 [all 10 reports]