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 
[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 |
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: | corpustools, LDAvis, mia, oolong, seededlda, sentopics, textmineR, TextMiningGUI, tidytext, udpipe |
| Reverse enhances: | quanteda |
Linking:
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