topicmodels v0.2-11
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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.
Functions in topicmodels
Name | Description | |
TopicModel-class | Virtual class "TopicModel" | |
TopicModelcontrol-class | Different classes for controlling the estimation of topic models | |
LDA | Latent Dirichlet Allocation | |
terms_and_topics | Extract most likely terms or topics. | |
AssociatedPress | Associated Press data | |
ldaformat2dtm | Transform data from and for use with the lda package | |
perplexity | Methods for Function perplexity | |
logLik-methods | Methods for Function logLik | |
distHellinger | Compute Hellinger distance | |
CTM | Correlated Topic Model | |
build_graph | Construct the adjacency matrix for a topic graph | |
posterior-methods | Determine posterior probabilities | |
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Vignettes of topicmodels
Name | ||
topicmodels.Rnw | ||
topicmodels.bib | ||
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Details
Type | Package |
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 | 2020-04-19 09:42:59 UTC; gruen |
Repository | CRAN |
Date/Publication | 2020-04-19 12:20:03 UTC |
suggests | corpus.JSS.papers , lasso2 , lattice , lda , OAIHarvester , SnowballC |
imports | methods , modeltools , slam , stats4 , tm (>= 0.6) |
depends | R (>= 2.15.0) |
Contributors | Kurt Hornik, Makoto Matsumoto, Takuji Nishimura, David M Blei, John D Lafferty, Xuan-Hieu Phan, Shawn Cokus |
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