mallet: An R Wrapper for the Java Mallet Topic Modeling Toolkit

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.

Version:	1.3.0
Depends:	R (≥ 3.6.3)
Imports:	rJava, checkmate
Suggests:	knitr, rmarkdown, dplyr, testthat
Published:	2022-07-20
Author:	Måns Magnusson [cre, aut], David Mimno [aut, cph]
Maintainer:	Måns Magnusson <mons.magnusson at gmail.com>
BugReports:	https://github.com/mimno/RMallet/issues
License:	MIT + file LICENSE
URL:	https://github.com/mimno/RMallet
NeedsCompilation:	no
SystemRequirements:	java
CRAN checks:	mallet results

Documentation:

Reference manual:	mallet.pdf
Vignettes:	mallet

Downloads:

Package source:	mallet_1.3.0.tar.gz
Windows binaries:	r-devel: mallet_1.3.0.zip, r-release: mallet_1.3.0.zip, r-oldrel: mallet_1.3.0.zip
macOS binaries:	r-release (arm64): mallet_1.3.0.tgz, r-oldrel (arm64): mallet_1.3.0.tgz, r-release (x86_64): mallet_1.3.0.tgz, r-oldrel (x86_64): mallet_1.3.0.tgz
Old sources:	mallet archive

Reverse dependencies:

Reverse suggests:

LDAvis, tidytext

Linking:

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