Topic Models R package topicmodels version 0.2-17 CRAN Task View: NaturalLanguageProcessing (https://CRAN.R-project.org/view=NaturalLanguageProcessing) 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. Software Depends: R (>= 3.5.0) Imports: stats4, methods, modeltools, slam, tm (>= 0.6) Suggests: lattice, lda, OAIHarvester, SnowballC Bettina Grün <Bettina.Gruen@R-project.org> Comprehensive R Archive Network (CRAN) Bettina Grün [aut, cre] (ORCID: <https://orcid.org/0000-0001-7265-4773>), Kurt Hornik [aut] (ORCID: <https://orcid.org/0000-0003-4198-9911>), 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) GPL-2 2024-08-14 application/tgz https://CRAN.R-project.org/package=topicmodels doi:10.32614/CRAN.package.topicmodels