mallet.topic.words

The model returned by <code>MalletLDA</code>

topic.model

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.

normalized

If true, add the smoothing parameter for the model (initial value specified as <code>beta</code> in <code>MalletLDA</code>). If false, many values will be zero.

smoothed


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


This package allows you to train topic models in mallet and load results directly into R.

mallet.topic.words: Retrieve a matrix of words weights for topics

Description

Usage

Arguments