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 |
| 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.html , mallet.pdf |
| Vignettes: |
mallet (source, R code) |
| 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, topics |
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