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.
| Version: | 0.1.4 |
| Depends: | R (≥ 4.1.0) |
| Imports: | glmnet,tm,textstem, methods,lexicon, utils |
| Suggests: | knitr,rmarkdown,testthat (≥ 3.0.0),covr,wordcloud,vdiffr |
| Published: | 2025-08-20 |
| DOI: | 10.32614/CRAN.package.MetaNLP |
| Author: | Nico Bruder [aut], Samuel Zimmermann [aut], Johannes Vey [aut], Maximilian Pilz [aut, cre], Institute of Medical Biometry - University of Heidelberg [cph] |
| Maintainer: | Maximilian Pilz <maximilian.pilz at itwm.fraunhofer.de> |
| BugReports: | https://github.com/imbi-heidelberg/MetaNLP/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/imbi-heidelberg/MetaNLP |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| In views: | MetaAnalysis |
| CRAN checks: | MetaNLP results |