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 | 
Please use the canonical form https://CRAN.R-project.org/package=mallet to link to this page.