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topicmodels (version 0.0-6)

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 the C++ code for fitting LDA models using Gibbs sampling by Xuan-Hieu Phan.

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Version

Install

install.packages('topicmodels')

Monthly Downloads

9,388

Version

0.0-6

License

GPL-2

Maintainer

Bettina Gruen

Last Published

May 3rd, 2010

Functions in topicmodels (0.0-6)

build_graph

Construct the adjacency matrix for a topic graph

CTM

Correlated Topic Model

logLik-methods

Methods for Function logLik

posterior-methods

Determine posterior probabilities

TopicModel-class

Virtual class "TopicModel"

LDA

Latent Dirichlet Allocation

AssociatedPress

Associated Press data

get

Extract most likely terms or topics.

TopicModelcontrol-class

Different classes for controlling the estimation of topic models