mallet.doc.topics

From mallet v1.0 by David Mimno

Retrieve a matrix of topic weights for every document

This function returns a matrix with one row for every document and one column for every topic.

Usage

mallet.doc.topics(topic.model, normalized, smoothed)

Arguments

topic.model: The model returned by MalletLDA
normalized: If true, normalize the rows so that each document sums to one. If false, values will be integers (possibly plus the smoothing constant) representing the actual number of words of each topic in the documents.
smoothed: If true, add the smoothing parameter for the model (initial value specified as alpha.sum in MalletLDA). If false, many values will be zero.

Documentation reproduced from package mallet, version 1.0, License: MIT + file LICENSE

Community examples

Looks like there are no examples yet.