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topicmodels (version 0.2-16)
Topic Models
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.
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Install
install.packages('topicmodels')
Monthly Downloads
11,473
Version
0.2-16
License
GPL-2
Maintainer
Bettina Gruen
Last Published
January 9th, 2024
Functions in topicmodels (0.2-16)
Search functions
AssociatedPress
Associated Press data
perplexity
Methods for Function perplexity
terms_and_topics
Extract most likely terms or topics.
distHellinger
Compute Hellinger distance
posterior-methods
Determine posterior probabilities
TopicModel-class
Virtual class "TopicModel"
LDA
Latent Dirichlet Allocation
TopicModelcontrol-class
Different classes for controlling the estimation of topic models
logLik-methods
Methods for Function logLik
CTM
Correlated Topic Model
ldaformat2dtm
Transform data from and for use with the
lda
package
JSS_papers
JSS Papers Dublin Core Metadata