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mallet
View on CRAN: Click
here
Download and install mallet package within the R console
Install from CRAN:
install.packages("mallet")
Install from Github:
library("remotes")
install_github("cran/mallet") Install by package version:
library("remotes")
install_version("mallet", "1.3.0") Attach the package and use:
library("mallet")
Maintained by
Måns Magnusson
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-08-09
Latest Update: 2022-07-20
Description:
An R interface for the Java Machine Learning for Language Toolkit (mallet)
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.
How to cite:
Måns Magnusson (2013). mallet: An R Wrapper for the Java Mallet Topic Modeling Toolkit. R package version 1.3.0, https://cran.r-project.org/web/packages/mallet. Accessed 29 Sep. 2026.
Previous versions and publish date:
(2026-07-09 06:27), 1.0 (2013-08-09 16:47)
Other packages that cited mallet R package
View mallet citation profile
Other R packages that mallet depends,
imports, suggests or enhances
Complete documentation for mallet
Functions, R codes and Examples using
the mallet R package
Some associated functions: MalletLDA . load.mallet.state . mallet-package . mallet.doc.topics . mallet.import . mallet.read.dir . mallet.subset.topic.words . mallet.top.words . mallet.topic.hclust . mallet.topic.labels . mallet.topic.model.read . mallet.topic.words . mallet.word.freqs . mallet_jar . mallet_stoplist_file_path . mallet_supported_stoplists . save.mallet.instances . save.mallet.state . sotu .
Some associated R codes: mallet.R . mallet_jar.R . mallet_state_io.R . mallet_stopwords.R . onLoad.R . Full mallet package functions and examples
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