Quotation Grün, Bettina, Hornik, Kurt. 2011. topicmodels: An R package for fitting topic models. Journal of Statistical Software 40 (13): 1-30.




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.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Journal of Statistical Software
Citation Index SCI
WU-Journal-Rating new FIN-A
Language English
Title topicmodels: An R package for fitting topic models
Volume 40
Number 13
Year 2011
Page from 1
Page to 30
URL http://www.jstatsoft.org/v40/i13/


Grün, Bettina (Details)
Hornik, Kurt (Details)
Institute for Statistics and Mathematics IN (Details)
Research Institute for Computational Methods FI (Details)
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