load.mallet.state

This reads writes a current sampling state of mallet to file. The state contain
hyperparameters \(\alpha\) and \(\beta\) together with topic indicators.

An R interface for the Java Machine Learning for Language Toolkit (mallet)
<http://mallet.cs.umass.edu/> to estimate probabilistic topic models, such
as Latent Dirichlet Allocation. We can use the R package to read textual
data into mallet from R objects, run the Java implementation of mallet
directly in R, and extract results as R objects. The Mallet toolkit
has many functions, this wrapper focuses on the topic modeling sub-package
written by David Mimno. The package uses the rJava package to connect to a
JVM.

Mans Magnusson

mallet

An R Wrapper for the Java Mallet Topic Modeling Toolkit

Måns Magnusson

David Mimno

load.mallet.state function

<dl><dt>topic.model</dt>
<dd>A <code>cc.mallet.topics.RTopicModel</code> object created by <code>MalletLDA</code>.</dd>
<dt>state.file</dt>
<dd>File path to store the mallet state file to.</dd></dl>

Arguments

Load a Mallet state into Mallet — load.mallet.state

<dl>

<dt>topic.model</dt>
<dd>A <code>cc.mallet.topics.RTopicModel</code> object created by <code>MalletLDA</code>.</dd>


<dt>state.file</dt>
<dd>File path to store the mallet state file to.</dd>

</dl>

load.mallet.state: Load a Mallet state into Mallet

Description

Usage

Value

Arguments