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topicmodels (version 0.2-17)

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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Version

Install

install.packages('topicmodels')

Monthly Downloads

13,081

Version

0.2-17

License

GPL-2

Maintainer

Bettina Gruen

Last Published

August 14th, 2024

Functions in topicmodels (0.2-17)

perplexity

Methods for Function perplexity
LDA

Latent Dirichlet Allocation
terms_and_topics

Extract most likely terms or topics.
CTM

Correlated Topic Model
distHellinger

Compute Hellinger distance
posterior-methods

Determine posterior probabilities
JSS_papers

JSS Papers Dublin Core Metadata
logLik-methods

Methods for Function logLik
TopicModelcontrol-class

Different classes for controlling the estimation of topic models
TopicModel-class

Virtual class "TopicModel"
ldaformat2dtm

Transform data from and for use with the lda package
AssociatedPress

Associated Press data