KOPS - Das Institutionelle Repositorium der Universität Konstanz

Visual Sentiment Analysis of RSS News Feeds Featuring the US Presidential Election in 2008

Visual Sentiment Analysis of RSS News Feeds Featuring the US Presidential Election in 2008

Zitieren

Dateien zu dieser Ressource

Prüfsumme: MD5:dda386c5a656d1ce9efccd1a16bf8cf0

WANNER, Franz, Christian ROHRDANTZ, Florian MANSMANN, Daniela OELKE, Daniel A. KEIM, 2009. Visual Sentiment Analysis of RSS News Feeds Featuring the US Presidential Election in 2008. VISSW. Sanibel Island, Florida, 8. Feb 2009. In: Visual Interfaces to the Social and the Semantic Web (VISSW 2009), Sanibel Island, Florida, 8th February 2009. VISSW. Sanibel Island, Florida, 8. Feb 2009

@inproceedings{Wanner2009Visua-5946, title={Visual Sentiment Analysis of RSS News Feeds Featuring the US Presidential Election in 2008}, year={2009}, booktitle={Visual Interfaces to the Social and the Semantic Web (VISSW 2009), Sanibel Island, Florida, 8th February 2009}, author={Wanner, Franz and Rohrdantz, Christian and Mansmann, Florian and Oelke, Daniela and Keim, Daniel A.} }

<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/rdf/resource/123456789/5946"> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <dc:contributor>Keim, Daniel A.</dc:contributor> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:bibliographicCitation>Paper for: Visual Interfaces to the Social and the Semantic Web (VISSW 2009), Sanibel Island, Florida, 8th February 2009</dcterms:bibliographicCitation> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5946/1/vissw2009.pdf"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T16:01:32Z</dcterms:available> <dc:contributor>Oelke, Daniela</dc:contributor> <dc:language>deu</dc:language> <dc:contributor>Rohrdantz, Christian</dc:contributor> <dc:creator>Wanner, Franz</dc:creator> <dcterms:rights rdf:resource="http://nbn-resolving.org/urn:nbn:de:bsz:352-20140905103416863-3868037-7"/> <dcterms:issued>2009</dcterms:issued> <dcterms:title>Visual Sentiment Analysis of RSS News Feeds Featuring the US Presidential Election in 2008</dcterms:title> <dc:format>application/pdf</dc:format> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T16:01:32Z</dc:date> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <dc:creator>Rohrdantz, Christian</dc:creator> <dc:contributor>Mansmann, Florian</dc:contributor> <dc:contributor>Wanner, Franz</dc:contributor> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:creator>Oelke, Daniela</dc:creator> <dcterms:abstract xml:lang="eng">The technology behind RSS feeds offers great possibilities to retrieve more news items than ever. In contrast to these technical developments, human capabilities to read all these news items have not increased likewise. To bridge this gap, this paper presents a visual analytics tool for conducting semi-automatic sentiment analysis of large news feeds. While the tool automatically retrieves and analyzes RSS feeds with respect to positive and negative opinion words, the more demanding news analysis of finding trends, spotting peculiarities and putting events into context is left to the human expert. For a solid analysis the news similarity filter enables highlighting of similar or redundant news items. A case study about news related to the US presidential election in 2008 shows how the visual interface of the tool empowers the analyst to draw meaningful conclusions without the effort of reading all news postings.</dcterms:abstract> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5946/1/vissw2009.pdf"/> <dc:rights>deposit-license</dc:rights> <dc:creator>Keim, Daniel A.</dc:creator> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/5946"/> <dc:creator>Mansmann, Florian</dc:creator> </rdf:Description> </rdf:RDF>

Dateiabrufe seit 01.10.2014 (Informationen über die Zugriffsstatistik)

vissw2009.pdf 522

Das Dokument erscheint in:

KOPS Suche


Stöbern

Mein Benutzerkonto