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topicmodels: 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.

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 ORCID iD [aut, cre], Kurt Hornik ORCID iD [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

Documentation:

Reference manual: topicmodels.pdf
Vignettes: topicmodels: An R Package for Fitting Topic Models (source, R code)

Downloads:

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 dependencies:

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

Linking:

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.