Package: MetaNLP
Type: Package
Title: Natural Language Processing for Meta Analysis
Version: 0.1.4
Authors@R: c(person("Nico", "Bruder", role = c("aut"), email = "brudernico@gmail.com", comment = c(ORCID = "0009-0004-9522-2075")),
        person("Samuel", "Zimmermann", role = c("aut"), email = "zimmermann@imbi.uni-heidelberg.de", comment = c(ORCID = "0009-0000-4828-9294")),
        person("Johannes", "Vey", role = c("aut"), email = "vey@imbi.uni-heidelberg.de", comment = c(ORCID = "0000-0002-2610-9667")),
        person("Maximilian", "Pilz", role = c("aut", "cre"), email = "maximilian.pilz@itwm.fraunhofer.de", comment = c(ORCID = "0000-0002-9685-1613")),
        person(given = "Institute of Medical Biometry - University of Heidelberg", role = c("cph")))
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.
License: MIT + file LICENSE
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), covr, wordcloud,
        vdiffr
Imports: glmnet, tm, textstem, methods, lexicon, utils
Collate: MetaNLP.R util.R delete_functions.R feature_selection.R
        useful_functions.R
Encoding: UTF-8
RoxygenNote: 7.3.2
BugReports: https://github.com/imbi-heidelberg/MetaNLP/issues
URL: https://github.com/imbi-heidelberg/MetaNLP
Config/testthat/edition: 3
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-08-20 08:15:08 UTC; pilz
Author: Nico Bruder [aut] (ORCID: <https://orcid.org/0009-0004-9522-2075>),
  Samuel Zimmermann [aut] (ORCID:
    <https://orcid.org/0009-0000-4828-9294>),
  Johannes Vey [aut] (ORCID: <https://orcid.org/0000-0002-2610-9667>),
  Maximilian Pilz [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-9685-1613>),
  Institute of Medical Biometry - University of Heidelberg [cph]
Maintainer: Maximilian Pilz <maximilian.pilz@itwm.fraunhofer.de>
Repository: CRAN
Date/Publication: 2025-08-20 08:50:02 UTC
Built: R 4.7.0; ; 2026-07-17 05:30:19 UTC; windows
