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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
DOI: 10.32614/CRAN.package.mallet
Author: Måns Magnusson ORCID iD [cre, aut], David Mimno ORCID iD [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:

Please use the canonical form https://CRAN.R-project.org/package=mallet to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.