This package contains functions to read in text corpora, fit LDA-type models to them, and use the fitted models to explore the data and make predictions.
Special thanks to the following for their reports and comments: Edo Airoldi, Jordan Boyd-Graber, Christopher E. Cramer, James Danowski, Khalid El-Arini, Roger Levy, Solomon Messing, Joerg Reichardt
Blei, David M. and Ng, Andrew and Jordan, Michael. Latent Dirichlet allocation. Journal of Machine Learning Research, 2003.
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## See demos for the following three common use cases: ## Not run: demo(lda) ## Not run: demo(slda) ## Not run: demo(mmsb) ## Not run: demo(rtm)
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