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.
| Version: | 0.2-11 |
| Depends: | R (≥ 2.15.0) |
| Imports: | stats4, methods, modeltools, slam, tm (≥ 0.6) |
| Suggests: | lasso2, lattice, lda, OAIHarvester, SnowballC, corpus.JSS.papers |
| Published: | 2020-04-19 |
| Author: | 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) |
| Maintainer: | Bettina Grün <Bettina.Gruen at jku.at> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU Scientific Library version >= 1.8, C++11 |
| Citation: | topicmodels citation info |
| Materials: | NEWS |
| In views: | NaturalLanguageProcessing |
| CRAN checks: | topicmodels results |
| Reference manual: | topicmodels.pdf |
| Vignettes: |
topicmodels: An R Package for Fitting Topic Models |
| Package source: | topicmodels_0.2-11.tar.gz |
| Windows binaries: | r-devel: topicmodels_0.2-11.zip, r-release: topicmodels_0.2-11.zip, r-oldrel: topicmodels_0.2-11.zip |
| macOS binaries: | r-release: topicmodels_0.2-11.tgz, r-oldrel: topicmodels_0.2-11.tgz |
| Old sources: | topicmodels archive |
| Reverse depends: | BullsEyeR |
| Reverse imports: | cellTree, LDATS, ldatuning, MoMPCA, oRus, revtools, topicdoc |
| Reverse suggests: | corpustools, GermaParl, LDAvis, oolong, PivotalR, quanteda, textmineR, tidytext, udpipe |
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