lda (version 1.4.2)

lda-package: Collapsed Gibbs Samplers and Related Utility Functions for LDA-type Models

Description

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.

Arguments

Details

Package:
lda
Type:
Package
Version:
1.3.2
Date:
2012-05-22
License:
BSD
LazyLoad:
yes

References

Blei, David M. and Ng, Andrew and Jordan, Michael. Latent Dirichlet allocation. Journal of Machine Learning Research, 2003.

See Also

Functions to fit models: lda.collapsed.gibbs.sampler slda.em mmsb.collapsed.gibbs.sampler nubbi.collapsed.gibbs.sampler rtm.collapsed.gibbs.sampler

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

Included data sets: cora poliblog sampson

Examples

## 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)