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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.2-8 by Bettina Grün, 4 months ago

Browse source code at

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