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SentiWorld: Understanding emotions between countries based on tweets

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dc.contributor.authorYea, Sang-Junko
dc.contributor.authorKim, Sejinko
dc.contributor.authorTo, John-Michaëlko
dc.contributor.authorLee, Jae-Gilko
dc.date.accessioned2023-10-11T12:00:36Z-
dc.date.available2023-10-11T12:00:36Z-
dc.date.created2023-10-11-
dc.date.issued2016-05-
dc.identifier.citation10th International Conference on Web and Social Media, ICWSM 2016, pp.762 - 763-
dc.identifier.urihttp://hdl.handle.net/10203/313221-
dc.description.abstractIn order to understand emotions between countries, we collected around 25 million tweets, analyzed them using statistical and network analysis methods, and visualized the analytic results as both a sentiment map and a sentiment network. Our web system, which we call SentiWorld, is accessible via http://sentiworld.to.fr.-
dc.languageEnglish-
dc.publisherAssociation for the Advancement of Artificial Intelligence (AAAI)-
dc.titleSentiWorld: Understanding emotions between countries based on tweets-
dc.typeConference-
dc.identifier.scopusid2-s2.0-84979633204-
dc.type.rimsCONF-
dc.citation.beginningpage762-
dc.citation.endingpage763-
dc.citation.publicationname10th International Conference on Web and Social Media, ICWSM 2016-
dc.identifier.conferencecountryGE-
dc.identifier.conferencelocationCologne-
dc.contributor.localauthorLee, Jae-Gil-
dc.contributor.nonIdAuthorTo, John-Michaël-
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CS-Conference Papers(학술회의논문)
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