topicmodels: Topic models

Provides an interface to the C code for Latent Dirichlet Allocation (LDA) models and Correlated Topics Models (CTM) by David M. Blei and co-authors and the C++ code for fitting LDA models using Gibbs sampling by Xuan-Hieu Phan and co-authors.

Version: 0.1-4
Depends: R (≥ 2.10), lasso2, stats4, methods, modeltools, slam, tm (≥ 0.5-6)
Suggests: lattice, lda, OAIHarvester, Snowball, XML
Published: 2011-12-27
Author: Bettina Grün and Kurt Hornik
Maintainer: Bettina Grün <Bettina.Gruen at jku.at>
License: GPL-2
SystemRequirements: GNU Scientific Library version >= 1.8
Citation: topicmodels citation info
In views: NaturalLanguageProcessing
CRAN checks: topicmodels results

Downloads:

Package source: topicmodels_0.1-4.tar.gz
MacOS X binary: topicmodels_0.1-4.tgz
Windows binary: topicmodels_0.1-4.zip
Reference manual: topicmodels.pdf
Vignettes: topicmodels: An R Package for Fitting Topic Models
News/ChangeLog:NEWS
Old sources: topicmodels archive