topicmodels: An R package for fitting topic models

Publication: Scientific journalJournal articlepeer-review

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Abstract

Topic models allow the probabilistic modeling of term frequency occurrences in documents. The fitted model can be used to estimate the similarity between documents as well as between a set of specified keywords using an additional layer of latent variables which are referred to as topics. The R package topicmodels provides basic infrastructure for fitting topic models based on data structures from the text mining package tm. The package includes interfaces to two algorithms for fitting topic models: the variational expectation-maximization algorithm provided by David M. Blei and co-authors and an algorithm using Gibbs sampling by Xuan-Hieu Phan and co-authors.
Original languageEnglish
Pages (from-to)1 - 30
JournalJournal of Statistical Software
Volume40
Issue number13
Publication statusPublished - 1 Jun 2011

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