<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Text-Mining of the 'PubMed' Repository</dc:title>
  <dc:title>R package PubMedMining version 1.0.0</dc:title>
  <dc:description>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) &lt;https://www.aclweb.org/anthology/J90-1003/&gt;
    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.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: easyPubMed, stringr, utils</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown</dc:relation>
  <dc:creator>Jeff DIDIER &lt;jeff.didier.001@student.uni.lu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Jeff DIDIER [aut, cre]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=PubMedMining/LICENSE)</dc:rights>
  <dc:date>2020-11-16</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=PubMedMining</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.PubMedMining</dc:identifier>
</oai_dc:dc>
