DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yea, Sang-Jun | ko |
dc.contributor.author | Kim, Sejin | ko |
dc.contributor.author | To, John-Michaël | ko |
dc.contributor.author | Lee, Jae-Gil | ko |
dc.date.accessioned | 2023-10-11T12:00:36Z | - |
dc.date.available | 2023-10-11T12:00:36Z | - |
dc.date.created | 2023-10-11 | - |
dc.date.issued | 2016-05 | - |
dc.identifier.citation | 10th International Conference on Web and Social Media, ICWSM 2016, pp.762 - 763 | - |
dc.identifier.uri | http://hdl.handle.net/10203/313221 | - |
dc.description.abstract | In 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.language | English | - |
dc.publisher | Association for the Advancement of Artificial Intelligence (AAAI) | - |
dc.title | SentiWorld: Understanding emotions between countries based on tweets | - |
dc.type | Conference | - |
dc.identifier.scopusid | 2-s2.0-84979633204 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 762 | - |
dc.citation.endingpage | 763 | - |
dc.citation.publicationname | 10th International Conference on Web and Social Media, ICWSM 2016 | - |
dc.identifier.conferencecountry | GE | - |
dc.identifier.conferencelocation | Cologne | - |
dc.contributor.localauthor | Lee, Jae-Gil | - |
dc.contributor.nonIdAuthor | To, John-Michaël | - |
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