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 |
| Maintainer: | Maximilian Pilz <maximilian.pilz at itwm.fraunhofer.de> |
| BugReports: | https://github.com/imbi-heidelberg/MetaNLP/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/imbi-heidelberg/MetaNLP |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| In views: | MetaAnalysis |
| CRAN checks: | MetaNLP results |
| Reference manual: | MetaNLP.html , MetaNLP.pdf |
| Package source: | MetaNLP_0.1.4.tar.gz |
| Windows binaries: | r-devel: MetaNLP_0.1.4.zip, r-release: MetaNLP_0.1.4.zip, r-oldrel: MetaNLP_0.1.4.zip |
| macOS binaries: | r-release (arm64): MetaNLP_0.1.4.tgz, r-oldrel (arm64): MetaNLP_0.1.4.tgz, r-release (x86_64): MetaNLP_0.1.4.tgz, r-oldrel (x86_64): MetaNLP_0.1.4.tgz |
| Old sources: | MetaNLP archive |
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