⚠️There's a newer version (0.2-17) of this package.Take me there.

topicmodels (version 0.1-6)

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.

Copy Link

Version

Install

install.packages('topicmodels')

Monthly Downloads

11,229

Version

0.1-6

License

GPL-2

Maintainer

Bettina Gruen

Last Published

June 15th, 2012

Functions in topicmodels (0.1-6)

terms_and_topics

Extract most likely terms or topics.

build_graph

Construct the adjacency matrix for a topic graph

posterior-methods

Determine posterior probabilities

AssociatedPress

Associated Press data

TopicModelcontrol-class

Different classes for controlling the estimation of topic models

CTM

Correlated Topic Model

perplexity

Methods for Function perplexity

LDA

Latent Dirichlet Allocation

logLik-methods

Methods for Function logLik

TopicModel-class

Virtual class "TopicModel"

ldaformat2dtm

Transform data from and for use with the lda package

distHellinger

Compute Hellinger distance