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 |
| Reference manual: | PubMedMining.pdf |
| Vignettes: |
PubMedMining-vignette |
| 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: PubMedMining_1.0.0.tgz, r-oldrel: PubMedMining_1.0.0.tgz |
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