<?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>Natural Language Processing for Meta Analysis</dc:title>
  <dc:title>R package MetaNLP version 0.1.4</dc:title>
  <dc:subject>CRAN Task View: MetaAnalysis (https://CRAN.R-project.org/view=MetaAnalysis)</dc:subject>
  <dc:description>Given a CSV file with titles and abstracts, the package creates a
    document-term matrix that is lemmatized and stemmed and can directly be used to
    train machine learning methods for automatic title-abstract screening in the
    preparation of a meta analysis.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1.0)</dc:relation>
  <dc:relation>Imports: glmnet, tm, textstem, methods, lexicon, utils</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, testthat (&gt;= 3.0.0), covr, wordcloud,
vdiffr</dc:relation>
  <dc:creator>Maximilian Pilz &lt;maximilian.pilz@itwm.fraunhofer.de&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Nico Bruder [aut] (ORCID: &lt;https://orcid.org/0009-0004-9522-2075&gt;),
  Samuel Zimmermann [aut] (ORCID:
    &lt;https://orcid.org/0009-0000-4828-9294&gt;),
  Johannes Vey [aut] (ORCID: &lt;https://orcid.org/0000-0002-2610-9667&gt;),
  Maximilian Pilz [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-9685-1613&gt;),
  Institute of Medical Biometry - University of Heidelberg [cph]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=MetaNLP/LICENSE)</dc:rights>
  <dc:date>2025-08-20</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=MetaNLP</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.MetaNLP</dc:identifier>
</oai_dc:dc>
