Package: PubMedMining 1.0.0
Jeff DIDIER
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.
Authors:
PubMedMining_1.0.0.tar.gz
PubMedMining_1.0.0.tar.gz(r-4.5-noble)PubMedMining_1.0.0.tar.gz(r-4.4-noble)
PubMedMining_1.0.0.tgz(r-4.4-emscripten)PubMedMining_1.0.0.tgz(r-4.3-emscripten)
PubMedMining.pdf |PubMedMining.html✨
PubMedMining/json (API)
NEWS
# Install 'PubMedMining' in R: |
install.packages('PubMedMining', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:057b7e9bbd. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 11 2024 |
R-4.5-linux | OK | Dec 11 2024 |
Exports:pubmed_textmining
Dependencies:clieasyPubMedgluelifecyclemagrittrrlangstringistringrvctrs
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Pubmed-textmining | pubmed_textmining |