Package: MetaNLP Type: Package Title: Natural Language Processing for Meta Analysis Version: 0.1.4.9000 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) Config/pak/sysreqs: libicu-dev libxml2-dev Repository: https://imbi-heidelberg.r-universe.dev Date/Publication: 2025-08-20 11:59:52 UTC RemoteUrl: https://github.com/imbi-heidelberg/metanlp RemoteRef: HEAD RemoteSha: b6d810fdcf263cb11db5231dd8b3ecf934ba3bed NeedsCompilation: no Packaged: 2026-06-16 09:50:28 UTC; root Author: Nico Bruder [aut] (ORCID: ), Samuel Zimmermann [aut] (ORCID: ), Johannes Vey [aut] (ORCID: ), Maximilian Pilz [aut, cre] (ORCID: ), Institute of Medical Biometry - University of Heidelberg [cph] Maintainer: Maximilian Pilz