KOPS - The Institutional Repository of the University of Konstanz

Applied Visual Exploration on Real-Time News Feeds using Polarity and Geo-Spatial Analysis

Applied Visual Exploration on Real-Time News Feeds using Polarity and Geo-Spatial Analysis

Cite This

Files in this item

Checksum: MD5:ecdf7af99ac2a15edad54152dceae6aa

KRSTAJIC, Milos, Peter BAK, Daniela OELKE, Daniel KEIM, Martin ATKINSON, William RIBARSKY, 2010. Applied Visual Exploration on Real-Time News Feeds using Polarity and Geo-Spatial Analysis. 6th International Conference on Web Information Systems and Technologies. Valencia, Spain, Apr 7, 2010 - Apr 10, 2010. In: Proceedings of the 6th International Conference on Web Information Systems and Technology. SciTePress - Science and and Technology Publications, pp. 263-268. ISBN 978-989-674-025-2. Available under: doi: 10.5220/0002769102630268

@inproceedings{Krstajic2010-04-07Appli-12729, title={Applied Visual Exploration on Real-Time News Feeds using Polarity and Geo-Spatial Analysis}, year={2010}, doi={10.5220/0002769102630268}, isbn={978-989-674-025-2}, publisher={SciTePress - Science and and Technology Publications}, booktitle={Proceedings of the 6th International Conference on Web Information Systems and Technology}, pages={263--268}, author={Krstajic, Milos and Bak, Peter and Oelke, Daniela and Keim, Daniel and Atkinson, Martin and Ribarsky, William} }

<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/123456789/12729"> <dc:contributor>Bak, Peter</dc:contributor> <dc:creator>Bak, Peter</dc:creator> <dcterms:title>Applied Visual Exploration on Real-Time News Feeds using Polarity and Geo-Spatial Analysis</dcterms:title> <dc:contributor>Ribarsky, William</dc:contributor> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-09-23T10:09:52Z</dc:date> <dc:language>eng</dc:language> <dc:creator>Oelke, Daniela</dc:creator> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/12729"/> <dcterms:bibliographicCitation>First publ. in: Proceedings of the 6th International Conference on Web Information Systems and Technology : Valencia, Spain, April 7 - 10, 2010 ; WEBIST 2010 / sponsored by INSTICC - Institute for Systems and Technologies of Information, Control and Communication. [Ed. by Joaquim Filipe ...] . - INSTICC, 2010. - pp. 263-268</dcterms:bibliographicCitation> <dc:creator>Keim, Daniel</dc:creator> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/12729/1/Krstajicwebist2010.pdf"/> <dc:creator>Atkinson, Martin</dc:creator> <dc:contributor>Keim, Daniel</dc:contributor> <dc:contributor>Atkinson, Martin</dc:contributor> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/12729/1/Krstajicwebist2010.pdf"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <dc:contributor>Krstajic, Milos</dc:contributor> <dc:rights>terms-of-use</dc:rights> <dcterms:abstract xml:lang="eng">This paper presents a visual analytics approach to explore large news article collections in the domains of polarity and spatial analysis. The exploration is performed on the data collected with Europe Media Monitor (EMM), a system which monitors over 2500 online sources and processes 90,000 articles per day. By analyzing the news feeds, we want to find out which topics are important in different countries and what is the general polarity of the articles within these topics. To assess the polarity of a news article, automatic techniques for polarity analysis are employed and the results are represented using Literature Fingerprinting for visualization. In the spatial description of the news feeds, every article can be represented by two geographic attributes, the news origin and the location of the event itself. In order to assess these spatial properties of news articles, we conducted our geo-analysis, which is able to cope with the size and spatial distribution of the data. Within this application framework, we show opportunities how real-time news feed data can be analyzed efficiently.</dcterms:abstract> <dc:creator>Ribarsky, William</dc:creator> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:creator>Krstajic, Milos</dc:creator> <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/> <dc:contributor>Oelke, Daniela</dc:contributor> <dcterms:issued>2010-04-07</dcterms:issued> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-09-23T10:09:52Z</dcterms:available> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> </rdf:Description> </rdf:RDF>

Downloads since Oct 1, 2014 (Information about access statistics)

Krstajicwebist2010.pdf 298

This item appears in the following Collection(s)

Search KOPS


Browse

My Account