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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
DOI:	10.32614/CRAN.package.PubMedMining
Author:	Jeff DIDIER [aut, cre]
Maintainer:	Jeff DIDIER <jeff.didier.001 at student.uni.lu>
License:	MIT + fileLICENSE
NeedsCompilation:	no
Materials:	README,NEWS
CRAN checks:	PubMedMining results

Documentation:

Reference manual:	PubMedMining.html ,PubMedMining.pdf
Vignettes:	PubMedMining-vignette (source,R code)

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 formhttps://CRAN.R-project.org/package=PubMedMiningto link to this page.