Publikation:

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

Vorschaubild

Dateien

Krstajicwebist2010.pdf
Krstajicwebist2010.pdfGröße: 3.35 MBDownloads: 286

Datum

2010

Autor:innen

Atkinson, Martin
Ribarsky, William

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

URI (zitierfähiger Link)
http://nbn-resolving.de/urn:nbn:de:bsz:352-127298
DOI (zitierfähiger Link)
https://doi.org/10.5220/0002769102630268
ArXiv-ID

Internationale Patentnummer

Link zur Lizenz
Urheberrechtlich geschützt

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Green

Sammlungen

Informatik und Informationswissenschaft: Publikationen
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen in

Proceedings of the 6th International Conference on Web Information Systems and Technology. SciTePress - Science and and Technology Publications, 2010, pp. 263-268. ISBN 978-989-674-025-2. Available under: doi: 10.5220/0002769102630268

Zusammenfassung

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.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

News Feed Application, Sentiment Analysis, Spatiotemporal Analysis

Konferenz

6th International Conference on Web Information Systems and Technologies, 7. Apr. 2010 - 10. Apr. 2010, Valencia, Spain
Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690KRSTAJIC, Milos, Peter BAK, Daniela OELKE, Daniel A. 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, 7. Apr. 2010 - 10. Apr. 2010. In: Proceedings of the 6th International Conference on Web Information Systems and Technology. SciTePress - Science and and Technology Publications, 2010, pp. 263-268. ISBN 978-989-674-025-2. Available under: doi: 10.5220/0002769102630268
BibTex
@inproceedings{Krstajic2010-04-07Appli-12729,
  year={2010},
  doi={10.5220/0002769102630268},
  title={Applied Visual Exploration on Real-Time News Feeds using Polarity and Geo-Spatial Analysis},
  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 A. and Atkinson, Martin and Ribarsky, William}
}
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/123456789/12729">
    <dc:creator>Oelke, Daniela</dc:creator>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dc:creator>Ribarsky, William</dc:creator>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/12729/1/Krstajicwebist2010.pdf"/>
    <dc:creator>Krstajic, Milos</dc:creator>
    <dc:creator>Atkinson, Martin</dc:creator>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/12729"/>
    <dc:rights>terms-of-use</dc:rights>
    <dc:contributor>Krstajic, Milos</dc:contributor>
    <dc:contributor>Bak, Peter</dc:contributor>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-09-23T10:09:52Z</dc:date>
    <dc:contributor>Ribarsky, William</dc:contributor>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:issued>2010-04-07</dcterms:issued>
    <dc:contributor>Oelke, Daniela</dc:contributor>
    <dcterms:title>Applied Visual Exploration on Real-Time News Feeds using Polarity and Geo-Spatial Analysis</dcterms:title>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <dc:creator>Bak, Peter</dc:creator>
    <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>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-09-23T10:09:52Z</dcterms:available>
    <dc:language>eng</dc:language>
    <dc:contributor>Atkinson, Martin</dc:contributor>
    <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>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/12729/1/Krstajicwebist2010.pdf"/>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen