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: 0.1-12
Depends: R (≥ 2.15.0), methods
Imports: stats4, modeltools, slam, tm (≥ 0.5-8.5)
Suggests: lasso2, lattice, lda, OAIHarvester, SnowballC, XML
Published: 2013-08-20
Author: Bettina Grün and Kurt Hornik
Maintainer: Bettina Grün <Bettina.Gruen at>
License: GPL-2
NeedsCompilation: yes
SystemRequirements: GNU Scientific Library version >= 1.8
Citation: topicmodels citation info
Materials: NEWS
In views: NaturalLanguageProcessing
CRAN checks: topicmodels results


Reference manual: topicmodels.pdf
Vignettes: topicmodels: An R Package for Fitting Topic Models
Package source: topicmodels_0.1-12.tar.gz
OS X binary: topicmodels_0.1-12.tgz
Windows binary:
Old sources: topicmodels archive