Learning Bayesian Models with R

R packages for LDA

There are mainly two packages in R that can be used for performing LDA on documents. One is the topicmodels package developed by Bettina Grün and Kurt Hornik and the second one is lda developed by Jonathan Chang. Here, we describe both these packages.

The topicmodels package

The topicmodels package is an interface to the C and C++ codes developed by the authors of the papers on LDA and Correlated Topic Models (CTM) (references 7, 8, and 9 in the References section of this chapter). The main function LDA in this package is used to fit LDA models. It can be called by:

>LDA(X,K,method = "Gibbs",control = NULL,model = NULL,...)

Here, X is a document-term matrix that can be generated using the tm package and K is the number of topics. ...