Poster Open Access
Du, Keli;
Dudar, Julia;
Rok, Cora;
Schöch, Christof
{ "publisher": "Zenodo", "DOI": "10.5281/zenodo.5092328", "author": [ { "family": "Du, Keli" }, { "family": "Dudar, Julia" }, { "family": "Rok, Cora" }, { "family": "Sch\u00f6ch, Christof" } ], "issued": { "date-parts": [ [ 2021, 3, 18 ] ] }, "abstract": "<p>Statistical measures of distinctiveness allow researchers to extract features (e.g. words or parts-of-speech) that are characteristic or "distinctive" for a given group of texts compared to another group of texts. In order to reach a deeper understanding of measures of distinctiveness, we first analyze a significant range of existing measures of distinctiveness to determine and compare their statistical properties and integrate them into this joint conceptual model.</p>\n\n<p><strong>DFG Schwerpunktprogramm SPP 2207 "Computational Literary Studies"</strong></p>\n\n<p>Online:</p>\n\n<ul>\n\t<li><a href=\"https://gepris.dfg.de/gepris/projekt/402743989\">https://gepris.dfg.de/gepris/projekt/402743989</a></li>\n\t<li><a href=\"https://dfg-spp-cls.github.io/\">https://dfg-spp-cls.github.io/</a></li>\n</ul>\n\n<p><strong>Teilprojekt: "Zeta und Konsorten. Distinktivitätsmaße für die Digitalen Literaturwissenschaften"</strong></p>\n\n<p>Online:</p>\n\n<ul>\n\t<li><a href=\"https://gepris.dfg.de/gepris/projekt/424211690\">https://gepris.dfg.de/gepris/projekt/424211690</a></li>\n\t<li><a href=\"https://dfg-spp-cls.github.io/projects_en/2020/01/24/TP-Zeta_and_Company/\">https://dfg-spp-cls.github.io/projects_en/2020/01/24/TP-Zeta_and_Company/</a></li>\n\t<li><a href=\"https://zeta-project.eu/de/\">https://zeta-project.eu/de/</a></li>\n</ul>", "title": "Implementation framework of measures of distinctiveness", "type": "graphic", "id": "5092328" }
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