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lda

swMATH ID: 7319
Software Authors: Jonathan Chang
Description: lda: Collapsed Gibbs sampling methods for topic models. This package implements latent Dirichlet allocation (LDA) and related models. This includes (but is not limited to) sLDA, corrLDA, and the mixed-membership stochastic blockmodel. Inference for all of these models is implemented via a fast collapsed Gibbs sampler writtten in C. Utility functions for reading/writing data typically used in topic models, as well as tools for examining posterior distributions are also included.
Homepage: http://cran.r-project.org/web/packages/lda/
Dependencies: R
Related Software: R; topicmodels; stm; igraph; quanteda; LDAvis; tm; network; slam; wordcloud; statnet; tidytext; twitteR; stminsights; tosca; mallet; Python; SPSS; arules; qgraph
Referenced in: 9 Publications

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