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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 |
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.