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.

Maintainer: Bettina Grün <Bettina.Gruen at jku.at>

Author(s): Bettina Grün*, Kurt Hornik*

Install package and any missing dependencies by running this line in your R console:

install.packages("topicmodels")

Depends R (>= 2.15.0)
Imports stats4, methods, modeltools, slam, tm(>=0.6)
Suggests lasso2, lattice, lda, OAIHarvester, SnowballC, XML, corpus.JSS.papers
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ldatuning, preText, textmineR, textmining
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LDAvis, PivotalR, quanteda, tidytext
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Package topicmodels
Materials
URL
Task Views NaturalLanguageProcessing
Version 0.2-6
Published 2017-04-18
License GPL-2
BugReports
SystemRequirements GNU Scientific Library version >= 1.8, C++11
NeedsCompilation yes
Citation
CRAN checks topicmodels check results
Package source topicmodels_0.2-6.tar.gz