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.


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Reference manual

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install.packages("topicmodels")

0.2-8 by Bettina Grün, 4 months ago


Browse source code at https://github.com/cran/topicmodels


Authors: Bettina Grün [aut, cre] , Kurt Hornik [aut]


Documentation:   PDF Manual  


Task views: Natural Language Processing


GPL-2 license


Imports stats4, methods, modeltools, slam, tm

Suggests lasso2, lattice, lda, OAIHarvester, SnowballC, corpus.JSS.papers

System requirements: GNU Scientific Library version >= 1.8, C++11


Imported by ldatuning, preText, revtools, saotd, textmining.

Depended on by BullsEyeR.

Suggested by LDAvis, PivotalR, corpustools, quanteda, textmineR, tidytext, udpipe, widyr.


See at CRAN