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: | 0.1.3 |
Depends: | R (≥ 2.10) |
Imports: | glmnet, tm, textstem, methods, lexicon, utils |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0), covr, wordcloud, vdiffr |
Published: | 2024-11-07 |
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.pdf |
Package source: | MetaNLP_0.1.3.tar.gz |
Windows binaries: | r-devel: MetaNLP_0.1.3.zip, r-release: MetaNLP_0.1.3.zip, r-oldrel: MetaNLP_0.1.3.zip |
macOS binaries: | r-devel (arm64): MetaNLP_0.1.3.tgz, r-release (arm64): MetaNLP_0.1.3.tgz, r-oldrel (arm64): MetaNLP_0.1.3.tgz, r-devel (x86_64): MetaNLP_0.1.3.tgz, r-release (x86_64): MetaNLP_0.1.3.tgz, r-oldrel (x86_64): MetaNLP_0.1.3.tgz |
Old sources: | MetaNLP archive |
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