Poster Open Access
Du, Keli;
Dudar, Julia;
Rok, Cora;
Schöch, Christof
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.5092328</identifier> <creators> <creator> <creatorName>Du, Keli</creatorName> <givenName>Keli</givenName> <familyName>Du</familyName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7800-0682</nameIdentifier> <affiliation>University of Trier</affiliation> </creator> <creator> <creatorName>Dudar, Julia</creatorName> <givenName>Julia</givenName> <familyName>Dudar</familyName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-5545-9562</nameIdentifier> <affiliation>University of Trier</affiliation> </creator> <creator> <creatorName>Rok, Cora</creatorName> <givenName>Cora</givenName> <familyName>Rok</familyName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-9698-7513</nameIdentifier> <affiliation>University of Trier</affiliation> </creator> <creator> <creatorName>Schöch, Christof</creatorName> <givenName>Christof</givenName> <familyName>Schöch</familyName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4557-2753</nameIdentifier> <affiliation>University of Trier</affiliation> </creator> </creators> <titles> <title>Implementation framework of measures of distinctiveness</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2021</publicationYear> <subjects> <subject>Computational Literary Studies</subject> <subject>measure of distinctiveness</subject> <subject>Implementation framework</subject> <subject>SPP 2207</subject> </subjects> <dates> <date dateType="Issued">2021-03-18</date> </dates> <resourceType resourceTypeGeneral="Text">Poster</resourceType> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5092328</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.5092327</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/spp_cls</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><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> <p><strong>DFG Schwerpunktprogramm SPP 2207 &quot;Computational Literary Studies&quot;</strong></p> <p>Online:</p> <ul> <li><a href="https://gepris.dfg.de/gepris/projekt/402743989">https://gepris.dfg.de/gepris/projekt/402743989</a></li> <li><a href="https://dfg-spp-cls.github.io/">https://dfg-spp-cls.github.io/</a></li> </ul> <p><strong>Teilprojekt: &quot;Zeta und Konsorten. Distinktivit&auml;tsma&szlig;e f&uuml;r die Digitalen Literaturwissenschaften&quot;</strong></p> <p>Online:</p> <ul> <li><a href="https://gepris.dfg.de/gepris/projekt/424211690">https://gepris.dfg.de/gepris/projekt/424211690</a></li> <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> <li><a href="https://zeta-project.eu/de/">https://zeta-project.eu/de/</a></li> </ul></description> </descriptions> </resource>
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