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.

Total

165,648

Last month

9,394

Last week

1,924

Average per day

313

Daily downloads

Total downloads

Description file content

Package
topicmodels
Type
Package
Title
Topic Models
Version
0.2-7
Description
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.
Depends
R (>= 2.15.0)
Imports
stats4, methods, modeltools, slam, tm (>= 0.6)
Suggests
lasso2, lattice, lda, OAIHarvester, SnowballC, XML, corpus.JSS.papers
Additional_repositories
https://datacube.wu.ac.at
SystemRequirements
GNU Scientific Library version >= 1.8, C++11
License
GPL-2
Encoding
UTF-8
LazyLoad
yes
NeedsCompilation
yes
Packaged
2017-11-03 16:05:34 UTC; hornik
Author
Bettina Grün [aut, cre], Kurt Hornik [aut]
Maintainer
Bettina Grün
Repository
CRAN
Date/Publication
2017-11-03 16:27:26 UTC

install.packages('topicmodels')

0.2-7

a month ago

Bettina Grün

GPL-2

Depends on

R (>= 2.15.0)

Imports

stats4, methods, modeltools, slam, tm (>= 0.6)

Suggests

lasso2, lattice, lda, OAIHarvester, SnowballC, XML, corpus.JSS.papers

Discussions