Large-scale Comparative Sentiment Analysis of News Articles

Kurzanzeige
dc.contributor.authorWanner, Franz
dc.contributor.authorRohrdantz, Christian
dc.contributor.authorMansmann, Florian
dc.contributor.authorStoffel, Andreas
dc.contributor.authorOelke, Daniela
dc.contributor.authorKrstajic, Milos
dc.contributor.authorKeim, Daniel A.
dc.contributor.authorLuo, Dongningdeu
dc.contributor.authorYang, Jingdeu
dc.contributor.authorAtkinson, Martindeu
dc.date.accessioned2011-10-27T14:31:43Zdeu
dc.date.available2011-10-27T14:31:43Zdeu
dc.date.issued2009deu
dc.description.abstractOnline media 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 poster presents a visual analytics tool for conducting semi-automatic sentiment analysis of large news feeds. The tool retrieves and analyzes the news of two categories (Terrorist Attack and Natural Disasters) and news which belong to both categories of the Europe Media Monitor (EMM) with respect to positive and negative opinion words. While this happens automatically, the more demanding news analysis of finding trends, spotting peculiarities and putting events into context is left to the human expert.eng
dc.description.versionpublished
dc.identifier.citationPoster presented at: IEEE Information Visualization Conference : InfoVis 2009. - Atlantic City, New Jersey, October 11 - 16, 2009deu
dc.identifier.ppn352558601deu
dc.identifier.urihttp://kops.uni-konstanz.de/handle/123456789/16517
dc.language.isoengdeu
dc.legacy.dateIssued2011-10-27deu
dc.rightsterms-of-usedeu
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/deu
dc.subject.ddc004deu
dc.titleLarge-scale Comparative Sentiment Analysis of News Articleseng
dc.typeINPROCEEDINGSdeu
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kops.citation.bibtex
@inproceedings{Wanner2009Large-16517,
  year={2009},
  title={Large-scale Comparative Sentiment Analysis of News Articles},
  booktitle={IEEE Information Visualization Conference : InfoVis 2009. - Atlantic City, New Jersey, October 11 - 16, 2009},
  author={Wanner, Franz and Rohrdantz, Christian and Mansmann, Florian and Stoffel, Andreas and Oelke, Daniela and Krstajic, Milos and Keim, Daniel A. and Luo, Dongning and Yang, Jing and Atkinson, Martin}
}
kops.citation.iso690WANNER, Franz, Christian ROHRDANTZ, Florian MANSMANN, Andreas STOFFEL, Daniela OELKE, Milos KRSTAJIC, Daniel A. KEIM, Dongning LUO, Jing YANG, Martin ATKINSON, 2009. Large-scale Comparative Sentiment Analysis of News Articles. InfoVis. Atlantic City, New Jersey, 11. Okt. 2009 - 16. Okt. 2009. In: IEEE Information Visualization Conference : InfoVis 2009. - Atlantic City, New Jersey, October 11 - 16, 2009. 2009deu
kops.citation.iso690WANNER, Franz, Christian ROHRDANTZ, Florian MANSMANN, Andreas STOFFEL, Daniela OELKE, Milos KRSTAJIC, Daniel A. KEIM, Dongning LUO, Jing YANG, Martin ATKINSON, 2009. Large-scale Comparative Sentiment Analysis of News Articles. InfoVis. Atlantic City, New Jersey, Oct 11, 2009 - Oct 16, 2009. In: IEEE Information Visualization Conference : InfoVis 2009. - Atlantic City, New Jersey, October 11 - 16, 2009. 2009eng
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kops.conferencefieldInfoVis, 11. Okt. 2009 - 16. Okt. 2009, Atlantic City, New Jerseydeu
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kops.location.conferenceAtlantic City, New Jersey
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kops.sourcefield.plainIEEE Information Visualization Conference : InfoVis 2009. - Atlantic City, New Jersey, October 11 - 16, 2009. 2009eng
kops.submitter.emailwiebke.knop@uni-konstanz.dedeu
kops.title.conferenceInfoVis
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source.titleIEEE Information Visualization Conference : InfoVis 2009. - Atlantic City, New Jersey, October 11 - 16, 2009

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