Publikation: Visual Analysis of Explicit Opinion and News Bias in German Soccer Articles
Lade...
Dateien
Zu diesem Dokument gibt es keine Dateien.
Datum
2012
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
DOI (zitierfähiger Link)
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published
Erschienen in
FELLNER, Dieter, ed.. EuroVA 2012 : International Workshop on Visual Analytics. Goslar: Eurographics Association, 2012, pp. 49-53. ISBN 978-3-905673-89-0. Available under: doi: 10.2312/PE/EuroVAST/EuroVA12/049-053
Zusammenfassung
Most state-of-the-art opinion and sentiment analysis techniques were developed for customer feedback data or reviews. Applying them to another domain is often not possible because the algorithms are based on the assumption that the opinions are expressed explicitly in the text. However, news articles, for instance, convey an opinion in a more subtle manner. In this work we analyze German soccer articles with respect to the sentiment that is expressed in them. Besides adapting conventional sentiment analysis algorithms to the specific domain, we also investigate what can be measured with these techniques and what should be measured on news articles according to communication scientists. We suggest to bridge the existing gap with visual analytics methods and demonstrate the usability of the techniques on a concrete application example.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Konferenz
EuroVA 2012, 4. Juni 2012 - 5. Juni 2012, Vienna, Austria
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690
OELKE, Daniela, Benno GEISSELMANN, Daniel A. KEIM, 2012. Visual Analysis of Explicit Opinion and News Bias in German Soccer Articles. EuroVA 2012. Vienna, Austria, 4. Juni 2012 - 5. Juni 2012. In: FELLNER, Dieter, ed.. EuroVA 2012 : International Workshop on Visual Analytics. Goslar: Eurographics Association, 2012, pp. 49-53. ISBN 978-3-905673-89-0. Available under: doi: 10.2312/PE/EuroVAST/EuroVA12/049-053BibTex
@inproceedings{Oelke2012Visua-22585,
year={2012},
doi={10.2312/PE/EuroVAST/EuroVA12/049-053},
title={Visual Analysis of Explicit Opinion and News Bias in German Soccer Articles},
isbn={978-3-905673-89-0},
publisher={Eurographics Association},
address={Goslar},
booktitle={EuroVA 2012 : International Workshop on Visual Analytics},
pages={49--53},
editor={Fellner, Dieter},
author={Oelke, Daniela and Geißelmann, Benno and Keim, Daniel A.}
}RDF
<rdf:RDF
xmlns:dcterms="http://purl.org/dc/terms/"
xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:bibo="http://purl.org/ontology/bibo/"
xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
xmlns:foaf="http://xmlns.com/foaf/0.1/"
xmlns:void="http://rdfs.org/ns/void#"
xmlns:xsd="http://www.w3.org/2001/XMLSchema#" >
<rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/22585">
<foaf:homepage rdf:resource="http://localhost:8080/"/>
<dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-03-28T09:52:15Z</dcterms:available>
<dc:creator>Oelke, Daniela</dc:creator>
<dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
<dc:language>eng</dc:language>
<dcterms:abstract xml:lang="eng">Most state-of-the-art opinion and sentiment analysis techniques were developed for customer feedback data or reviews. Applying them to another domain is often not possible because the algorithms are based on the assumption that the opinions are expressed explicitly in the text. However, news articles, for instance, convey an opinion in a more subtle manner. In this work we analyze German soccer articles with respect to the sentiment that is expressed in them. Besides adapting conventional sentiment analysis algorithms to the specific domain, we also investigate what can be measured with these techniques and what should be measured on news articles according to communication scientists. We suggest to bridge the existing gap with visual analytics methods and demonstrate the usability of the techniques on a concrete application example.</dcterms:abstract>
<dcterms:issued>2012</dcterms:issued>
<dc:rights>terms-of-use</dc:rights>
<dc:contributor>Oelke, Daniela</dc:contributor>
<dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
<dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-03-28T09:52:15Z</dc:date>
<dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
<dc:contributor>Geißelmann, Benno</dc:contributor>
<dc:creator>Geißelmann, Benno</dc:creator>
<bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/22585"/>
<dc:contributor>Keim, Daniel A.</dc:contributor>
<void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
<dcterms:bibliographicCitation>EuroVA 2012 : International Workshop on Visual Analytics ; Vienna, Austria, June 4–5, 2012 / Dieter Fellner (ed.). - Goslar : Eurographics Association, 2012. - S. 49-53. - ISBN 978-3-905673-89-0</dcterms:bibliographicCitation>
<dc:creator>Keim, Daniel A.</dc:creator>
<dcterms:title>Visual Analysis of Explicit Opinion and News Bias in German Soccer Articles</dcterms:title>
</rdf:Description>
</rdf:RDF>Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
