Topic Models in R
نویسندگان
چکیده
Topic models are a popular method for modeling the term frequency occurrences in documents. The fitted model allows to better 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 introduced in the text mining package tm. The package includes interfaces to two algorithms for fitting topic models provided by David M. ̃Blei in C and one algorithm by Xuan-Hieu Phan in C++.
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تاریخ انتشار 2009