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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0.2-17 by Bettina Grün, 2 years ago
Browse source code at https://github.com/cran/topicmodels
Authors: Bettina Grün [aut, cre] , Kurt Hornik [aut] , David M Blei [ctb, cph] (VEM estimation of LDA and CTM) , John D Lafferty [ctb, cph] (VEM estimation of CTM) , Xuan-Hieu Phan [ctb, cph] (MCMC estimation of LDA) , Makoto Matsumoto [ctb, cph] (Mersenne Twister RNG) , Takuji Nishimura [ctb, cph] (Mersenne Twister RNG) , Shawn Cokus [ctb] (Mersenne Twister RNG)
Documentation: PDF Manual
GPL-2 license
Imports stats4, methods, modeltools, slam, tm
Suggests lattice, lda, OAIHarvester, SnowballC
System requirements: GNU Scientific Library version >= 1.8
Imported by LDATS, SportMiner, TopicTestlet, conversim, revtools, sumup, tall, topicdoc.
Suggested by ELAplus, FocusGroup, LDAvis, TextMiningGUI, acR, corpustools, oolong, seededlda, sentopics, surveyframe, textmineR, tidytext, udpipe.
Enhanced by quanteda.
See at CRAN