https://journalofdigitalhumanities.org/author/kuszkalo/Recent content in Kuszkalo on Journal of Digital HumanitiesHugoen-USSat, 01 Jun 2013 00:00:00 +0000https://journalofdigitalhumanities.org/2-3/text-mining-tools-in-the-humanities-an-analysis-framework/Sat, 01 Jun 2013 00:00:00 +0000https://journalofdigitalhumanities.org/2-3/text-mining-tools-in-the-humanities-an-analysis-framework/<h3 id="poster">Poster</h3> <iframe class="gde-frame" scrolling="no" src="https://docs.google.com/viewer?url=http%3A%2F%2Fjournalofdigitalhumanities.org%2Fwp-content%2Fuploads%2F2013%2F12%2FTextMiningToolAnalysisFramework-DH2013-DRAFT3.pdf&amp;hl=en_US&amp;embedded=true" style="width:100%; height:500px; border: none;"></iframe> <p><a href="https://journalofdigitalhumanities.org/wp-content/uploads/2013/12/TextMiningToolAnalysisFramework-DH2013-DRAFT3.pdf">Download (PDF, 3.56MB)</a></p> <h3 id="abstract">Abstract<sup id="fnref:1"><a href="#fn:1" class="footnote-ref" role="doc-noteref">1</a></sup></h3> <p>The most extensive compendium of text mining tools to date includes 71 tools and summarizes each based on ten criteria.<sup id="fnref:2"><a href="#fn:2" class="footnote-ref" role="doc-noteref">2</a></sup> While extensive, this listing of tools and their properties is general in its review criteria and does not offer any testing-based observations to help users assess actual usability. Humanists looking to try text analysis, visualization, and mining tools for research need better information that is relevant to their needs and reviews of tools that help them make choices. This poster presents the testing framework developed for the TAPoR 2.0 portal reviews. The poster will cover:</p>