mallet.topic.words

From mallet v1.0 by David Mimno

Retrieve a matrix of words weights for topics

This function returns a matrix with one row for every topic and one column for every word in the vocabulary.

Usage

mallet.topic.words(topic.model, normalized, smoothed)

Arguments

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

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

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