lda-package {lda} | R Documentation |
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: | 1.1 |
Date: | 2009-09-12 |
License: | BSD |
LazyLoad: | yes |
Jonathan Chang (jcone@princeton.edu)
Blei, David M. and Ng, Andrew and Jordan, Michael. Latent Dirichlet allocation. Journal of Machine Learning Research, 2003.
Functions to fit models:
lda.collapsed.gibbs.sampler
slda.em
mmsb.collapsed.gibbs.sampler
nubbi.collapsed.gibbs.sampler
Functions to read/create corpora:
lexicalize
read.documents
read.vocab
Functions to manipulate corpora:
merge.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
Included data sets:
cora
poliblog
sampson
## See demos for the following three common use cases: ## Not run: demo(lda) ## Not run: demo(slda) ## Not run: demo(mmsb)