Comparative Exploration of Document Collections : a Visual Analytics Approach

Zitieren

Dateien zu dieser Ressource

Prüfsumme: MD5:cdc53cb333ed548cdcb7438d825d9bcb

OELKE, Daniela, Hendrik STROBELT, Christian ROHRDANTZ, Iryna GUREVYCH, Oliver DEUSSEN, 2014. Comparative Exploration of Document Collections : a Visual Analytics Approach. In: Computer Graphics Forum. 33(3), pp. 201-210. ISSN 0167-7055. eISSN 1467-8659

@article{Oelke2014Compa-29163, title={Comparative Exploration of Document Collections : a Visual Analytics Approach}, year={2014}, doi={10.1111/cgf.12376}, number={3}, volume={33}, issn={0167-7055}, journal={Computer Graphics Forum}, pages={201--210}, author={Oelke, Daniela and Strobelt, Hendrik and Rohrdantz, Christian and Gurevych, Iryna and Deussen, Oliver} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/29163"> <dc:creator>Rohrdantz, Christian</dc:creator> <dc:creator>Deussen, Oliver</dc:creator> <dc:contributor>Strobelt, Hendrik</dc:contributor> <dc:creator>Gurevych, Iryna</dc:creator> <dc:contributor>Rohrdantz, Christian</dc:contributor> <dc:contributor>Oelke, Daniela</dc:contributor> <dc:creator>Strobelt, Hendrik</dc:creator> <dcterms:issued>2014</dcterms:issued> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-10-22T09:57:37Z</dc:date> <dc:creator>Oelke, Daniela</dc:creator> <dcterms:title>Comparative Exploration of Document Collections : a Visual Analytics Approach</dcterms:title> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-10-22T09:57:37Z</dcterms:available> <dcterms:abstract xml:lang="eng">We present an analysis and visualization method for computing what distinguishes a given document collection from others. We determine topics that discriminate a subset of collections from the remaining ones by applying probabilistic topic modeling and subsequently approximating the two relevant criteria distinctiveness and characteristicness algorithmically through a set of heuristics. Furthermore, we suggest a novel visualization method called DiTop-View, in which topics are represented by glyphs (topic coins) that are arranged on a 2D plane. Topic coins are designed to encode all information necessary for performing comparative analyses such as the class membership of a topic, its most probable terms and the discriminative relations. We evaluate our topic analysis using statistical measures and a small user experiment and present an expert case study with researchers from political sciences analyzing two real-world datasets.</dcterms:abstract> <dc:contributor>Gurevych, Iryna</dc:contributor> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/29163"/> <dcterms:bibliographicCitation>Computer Graphics Forum, 33 (2014), 3. - S.</dcterms:bibliographicCitation> <dc:contributor>Deussen, Oliver</dc:contributor> <dcterms:rights rdf:resource="http://nbn-resolving.org/urn:nbn:de:bsz:352-20140905103605204-4002607-1"/> <dc:language>eng</dc:language> <dc:rights>deposit-license</dc:rights> </rdf:Description> </rdf:RDF>

Dateiabrufe seit 22.10.2014 (Informationen über die Zugriffsstatistik)

Oelke_0-253295.pdf 339

Das Dokument erscheint in:

KOPS Suche


Stöbern

Mein Benutzerkonto