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MetaNLP: Natural Language Processing for Meta Analysis
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],
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 + file LICENSE |
| URL: |
https://github.com/imbi-heidelberg/MetaNLP |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| In views: |
MetaAnalysis |
| CRAN checks: |
MetaNLP results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=MetaNLP
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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