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.">

mallet: An R Wrapper for the Java Mallet Topic Modeling Toolkit (original) (raw)

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
URL: https://github.com/mimno/RMallet
NeedsCompilation: no
SystemRequirements: java
CRAN checks: mallet results

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