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 [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 |
Reference manual: | mallet.pdf |
Vignettes: |
mallet |
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 suggests: | LDAvis, tidytext |
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