Collapsed Gibbs Samplers and Related Utility Functions for LDA-type Models
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.
| Package: | lda |
| Type: | Package |
| Version: | 1.3.2 |
| Date: | 2012-05-22 |
| License: | BSD |
| LazyLoad: | yes |
Jonathan Chang (slycoder@gmail.com) Andrew Dai (a.dai@ed.ac.uk)
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.
Functions to read/create corpora:
lexicalize
read.documents
read.vocab
Functions to manipulate corpora:
concatenate.documents
filter.words
shift.word.indices
links.as.edgelist
Functions to compute summary statistics on corpora:
word.counts
document.lengths
Functions which use the output of fitted models:
predictive.distribution
top.topic.words
top.topic.documents
predictive.link.probability
## 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)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.