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  [aut]
(<https://orcid.org/0009-0004-9522-2075>),
Samuel Zimmermann
[aut] (<https://orcid.org/0009-0000-4828-9294>),
Johannes Vey
[aut] (<https://orcid.org/0000-0002-2610-9667>),
Maximilian Pilz
[aut, cre] (<https://orcid.org/0000-0002-9685-1613>),
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 + file LICENSE |
| URL: |
https://github.com/imbi-heidelberg/MetaNLP |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| In views: |
MetaAnalysis |
| CRAN checks: |
MetaNLP results |