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: | 0.2-9 |
Depends: | R (≥ 2.15.0) |
Imports: | stats4, methods, modeltools, slam, tm (≥ 0.6) |
Suggests: | lasso2, lattice, lda, OAIHarvester, SnowballC, corpus.JSS.papers |
Published: | 2019-12-03 |
Author: | Bettina Grün |
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_0.2-9.tar.gz |
Windows binaries: | r-devel: topicmodels_0.2-9.zip, r-devel-gcc8: topicmodels_0.2-9.zip, r-release: topicmodels_0.2-9.zip, r-oldrel: topicmodels_0.2-9.zip |
OS X binaries: | r-release: topicmodels_0.2-9.tgz, r-oldrel: topicmodels_0.2-9.tgz |
Old sources: | topicmodels archive |
Reverse depends: | BullsEyeR |
Reverse imports: | LDATS, ldatuning, preText, revtools, saotd, textmining, topicdoc |
Reverse suggests: | corpustools, lda.svi, LDAvis, PivotalR, quanteda, textmineR, tidytext, udpipe, widyr |
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