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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 MagnussonORCID iD [cre, aut], David MimnoORCID iD [aut, cph]
Maintainer:Måns Magnusson <mons.magnusson at gmail.com>
BugReports:https://github.com/mimno/RMallet/issues
License:MIT + fileLICENSE
URL:https://github.com/mimno/RMallet
NeedsCompilation:no
SystemRequirements:java
CRAN checks:mallet results

Documentation:

Reference manual:mallet.html ,mallet.pdf
Vignettes:mallet (source,R code)

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,topics

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=malletto link to this page.


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