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 |
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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 |
URL: | https://github.com/mimno/RMallet |
NeedsCompilation: | no |
SystemRequirements: | java |
CRAN checks: | mallet results |
Documentation:
Downloads:
Reverse dependencies:
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