topicmodels (0.2-11)

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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.

Maintainer: Bettina Grün
Author(s): Bettina Grn [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)

License: GPL-2

Uses: modeltools, slam, tm, lasso2, lattice, OAIHarvester, lda, SnowballC
Reverse depends: BullsEyeR
Reverse suggests: corpustools, GermaParl, lda.svi, LDAvis, oolong, PivotalR, quanteda, textmineR, tidytext, udpipe, widyr

Released about 1 month ago.

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  3.0/5 (2 votes)

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