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: | 0.2-15 |
Depends: | R (≥ 2.15.0) |
Imports: | stats4, methods, modeltools, slam, tm (≥ 0.6) |
Suggests: | lattice, lda, OAIHarvester, SnowballC, corpus.JSS.papers |
Published: | 2023-11-27 |
Author: | Bettina Grün |
Maintainer: | Bettina Grün <Bettina.Gruen at R-project.org> |
License: | GPL-2 |
NeedsCompilation: | yes |
SystemRequirements: | GNU Scientific Library version >= 1.8 |
Additional_repositories: | https://datacube.wu.ac.at |
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_0.2-15.tar.gz |
Windows binaries: | r-devel: topicmodels_0.2-15.zip, r-release: topicmodels_0.2-15.zip, r-oldrel: topicmodels_0.2-15.zip |
macOS binaries: | r-release (arm64): topicmodels_0.2-15.tgz, r-oldrel (arm64): topicmodels_0.2-15.tgz, r-release (x86_64): topicmodels_0.2-15.tgz, r-oldrel (x86_64): topicmodels_0.2-14.tgz |
Old sources: | topicmodels archive |
Reverse imports: | LDABiplots, LDAShiny, LDATS, ldatuning, MadanText, miRetrieve, musicatk, oRus, revtools, saotd, STdeconvolve, topicdoc, Twitmo |
Reverse suggests: | aifeducation, corpustools, LDAvis, oolong, quanteda, seededlda, sentopics, textmineR, TextMiningGUI, tidytext, udpipe |
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