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: |
0.2-12 |
| Depends: |
R (≥ 2.15.0) |
| Imports: |
stats4, methods, modeltools, slam, tm (≥ 0.6) |
| Suggests: |
lasso2, lattice, lda, OAIHarvester, SnowballC, corpus.JSS.papers |
| Published: |
2021-01-29 |
| 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, C++11 |
| Additional_repositories: |
https://datacube.wu.ac.at |
| Citation: |
topicmodels citation info |
| Materials: |
NEWS |
| In views: |
NaturalLanguageProcessing |
| CRAN checks: |
topicmodels results |