MetaNLP: Natural Language Processing for Meta Analysis

Given a CSV file with titles and abstracts, the package creates a word count 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.

Version: 0.1.2
Depends: R (≥ 2.10)
Imports: glmnet, tm, textstem, methods, lexicon, utils
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), covr, wordcloud, vdiffr
Published: 2024-05-23
DOI: 10.32614/CRAN.package.MetaNLP
Author: Nico Bruder [aut], Samuel Zimmermann ORCID iD [aut], Johannes Vey ORCID iD [aut], Maximilian Pilz ORCID iD [aut, cre], Institute of Medical Biometry - University of Heidelberg [cph]
Maintainer: Maximilian Pilz <maximilian.pilz at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: MetaNLP results


Reference manual: MetaNLP.pdf


Package source: MetaNLP_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MetaNLP_0.1.2.tgz, r-oldrel (arm64): MetaNLP_0.1.2.tgz, r-release (x86_64): MetaNLP_0.1.2.tgz, r-oldrel (x86_64): MetaNLP_0.1.2.tgz


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