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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: | 0.2-17 |
Depends: | R (≥ 3.5.0) |
Imports: | stats4, methods, modeltools, slam, tm (≥ 0.6) |
Suggests: | lattice, lda, OAIHarvester, SnowballC |
Published: | 2024-08-14 |
DOI: | 10.32614/CRAN.package.topicmodels |
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 R-project.org> |
License: | GPL-2 |
NeedsCompilation: | yes |
SystemRequirements: | GNU Scientific Library version >= 1.8 |
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 (source, R code) |
Package source: | topicmodels_0.2-17.tar.gz |
Windows binaries: | r-devel: topicmodels_0.2-17.zip, r-release: topicmodels_0.2-17.zip, r-oldrel: topicmodels_0.2-17.zip |
macOS binaries: | r-release (arm64): topicmodels_0.2-17.tgz, r-oldrel (arm64): topicmodels_0.2-17.tgz, r-release (x86_64): topicmodels_0.2-17.tgz, r-oldrel (x86_64): topicmodels_0.2-17.tgz |
Old sources: | topicmodels archive |
Reverse imports: | conversim, Goodreader, LDABiplots, LDAShiny, LDATS, ldatuning, MadanText, MadanTextNetwork, miRetrieve, musicatk, oRus, revtools, saotd, topicdoc, Twitmo |
Reverse suggests: | aifeducation, corpustools, LDAvis, mia, oolong, seededlda, sentopics, textmineR, TextMiningGUI, tidytext, udpipe |
Reverse enhances: | quanteda |
Please use the canonical form https://CRAN.R-project.org/package=topicmodels to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.