The lda package

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.

Properties

Versions	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)
License	BSD3
Author	Grzegorz Chrupała
Maintainer	pitekus@gmail.com
Category	Natural Language Processing
Home page	https://bitbucket.org/gchrupala/colada
Upload date	Wed Feb 29 18:09:09 UTC 2012
Uploaded by	GrzegorzChrupala
Built on	ghc-7.4

Modules

NLP
- NLP.LDA
  - NLP.LDA.UnboxedMaybeVector
  - NLP.LDA.Utils

Downloads

lda-0.0.2.tar.gz (Cabal source package)
package description (included in the package)