mallet.doc.topics

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

topic.model

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.

normalized

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

smoothed


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


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

mallet.doc.topics: Retrieve a matrix of topic weights for every document

Description

Usage

Arguments