lda: Online Latent Dirichlet Allocation
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.
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- lda-0.0.2.tar.gz [browse] (Cabal source package)
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| Versions [RSS] | 0.0.1, 0.0.2 |
|---|---|
| Dependencies | base (>=3 && <5), containers (>=0.4), ghc-prim (>=0.2), mtl (>=2.0), random-fu (>=0.2.1.1), random-source (>=0.3.0.2), rvar (>=0.2), 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 2012-02-29T18:09:09Z |
| Distributions | |
| Reverse Dependencies | 1 direct, 0 indirect [details] |
| Downloads | 1804 total (3 in the last 30 days) |
| Rating | (no votes yet) [estimated by Bayesian average] |
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| Status | Docs uploaded by user Build status unknown [no reports yet] |