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PubMedMining: Text-Mining of the 'PubMed' Repository

Easy function for text-mining the 'PubMed' repository based on defined sets of terms. The relationship between fix-terms (related to your research topic) and pub-terms (terms which pivot around your research focus) is calculated using the pointwise mutual information algorithm ('PMI'). Church, Kenneth Ward and Hanks, Patrick (1990) <https://www.aclweb.org/anthology/J90-1003/> A text file is generated with the 'PMI'-scores for each fix-term. Then for each collocation pairs (a fix-term + a pub-term), a text file is generated with related article titles and publishing years. Additional Author section will follow in the next version updates.

Version: 1.0.0
Imports: easyPubMed, stringr, utils
Suggests: knitr, rmarkdown
Published: 2020-11-16
Author: Jeff DIDIER [aut, cre]
Maintainer: Jeff DIDIER <jeff.didier.001 at student.uni.lu>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: PubMedMining results

Documentation:

Reference manual: PubMedMining.pdf
Vignettes: PubMedMining-vignette

Downloads:

Package source: PubMedMining_1.0.0.tar.gz
Windows binaries: r-devel: PubMedMining_1.0.0.zip, r-release: PubMedMining_1.0.0.zip, r-oldrel: PubMedMining_1.0.0.zip
macOS binaries: r-release (arm64): PubMedMining_1.0.0.tgz, r-oldrel (arm64): PubMedMining_1.0.0.tgz, r-release (x86_64): PubMedMining_1.0.0.tgz, r-oldrel (x86_64): PubMedMining_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PubMedMining 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.