Visual Exploration of Emotion Feelings Comparison in Tweet Data
| dc.contributor.author | Nemtsov, Ilya | en_US |
| dc.contributor.author | Jahan, Jasmine | en_US |
| dc.contributor.author | Yan, Chuting | en_US |
| dc.contributor.author | Humayoun, Shah Rukh | en_US |
| dc.contributor.editor | Kucher, Kostiantyn | en_US |
| dc.contributor.editor | Diehl, Alexandra | en_US |
| dc.contributor.editor | Gillmann, Christina | en_US |
| dc.date.accessioned | 2024-05-21T08:46:00Z | |
| dc.date.available | 2024-05-21T08:46:00Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Twitter (renamed as X) is one of the popular social media platforms where people share news or reactions towards an event or topic using short text messages called ''tweets''. Emotion analysis in these tweets can play a vital role in understanding peoples' feelings towards the underlying event or topic. In this work, we present our visual analytics tool, called TECVis, that focuses on providing comparison views of peoples' emotion feelings in tweets towards an event or topic. The comparison is done based on geolocations or timestamps. TECVis provides several interaction and filtering options for navigation and better exploration of underlying tweet data for emotion feelings comparison. | en_US |
| dc.description.sectionheaders | Posters | |
| dc.description.seriesinformation | EuroVis 2024 - Posters | |
| dc.identifier.doi | 10.2312/evp.20241096 | |
| dc.identifier.isbn | 978-3-03868-258-5 | |
| dc.identifier.pages | 3 pages | |
| dc.identifier.uri | https://doi.org/10.2312/evp.20241096 | |
| dc.identifier.uri | https://diglib.eg.org/handle/10.2312/evp20241096 | |
| dc.publisher | The Eurographics Association | en_US |
| dc.rights | Attribution 4.0 International License | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | CCS Concepts: Human-centered computing → Visual analytics; Computing methodologies → Information extraction | |
| dc.subject | Human centered computing → Visual analytics | |
| dc.subject | Computing methodologies → Information extraction | |
| dc.title | Visual Exploration of Emotion Feelings Comparison in Tweet Data | en_US |