March 18, 2021 Poster Open Access

Du, Keli; Dudar, Julia; Rok, Cora; Schöch, Christof

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    "description": "<p>Statistical measures of distinctiveness allow researchers to extract features (e.g. words or parts-of-speech) that are characteristic or &quot;distinctive&quot; 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 &quot;Computational Literary Studies&quot;</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: &quot;Zeta und Konsorten. Distinktivit&auml;tsma&szlig;e f&uuml;r die Digitalen Literaturwissenschaften&quot;</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>", 
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    "title": "Implementation framework of measures of distinctiveness", 
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    "publication_date": "2021-03-18", 
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        "affiliation": "University of Trier", 
        "name": "Du, Keli"
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        "affiliation": "University of Trier", 
        "name": "Dudar, Julia"
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        "affiliation": "University of Trier", 
        "name": "Rok, Cora"
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        "affiliation": "University of Trier", 
        "name": "Sch\u00f6ch, Christof"
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