<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>An R Wrapper for the Java Mallet Topic Modeling Toolkit</dc:title>
  <dc:title>R package mallet version 1.3.0</dc:title>
  <dc:description>
  An R interface for the Java Machine Learning for Language Toolkit (mallet)
  &lt;http://mallet.cs.umass.edu/&gt; 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.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.6.3)</dc:relation>
  <dc:relation>Imports: rJava, checkmate</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, dplyr, testthat</dc:relation>
  <dc:creator>Måns Magnusson &lt;mons.magnusson@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Måns Magnusson [cre, aut] (ORCID:
    &lt;https://orcid.org/0000-0002-0296-2719&gt;),
  David Mimno [aut, cph] (ORCID: &lt;https://orcid.org/0000-0001-7510-9404&gt;)</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=mallet/LICENSE)</dc:rights>
  <dc:date>2022-07-20</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=mallet</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.mallet</dc:identifier>
</oai_dc:dc>
