SentiCompass: Interactive visualization for exploring and comparing the sentiments of time-varying twitter data
In this work, we introduce SentiCompass for exploring and comparing the sentiments of time-varying Twitter data. Our visualization design combines 2D psychology model of affect (i.e. emotion) with a time tunnel representation. To illustrate our visualization design, two case studies are conducted. They demonstrate the effectiveness of SentiCompass in achieving various tasks related to temporal sentiment and affective analysis of tweets. The interactive demo of our system is available at: http://youtube/ZaMF6VNO7tA.
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| Main Authors: | , , , , |
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| Format: | conference_item biblioteca |
| Language: | eng |
| Published: |
IEEE Computer Society
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| Subjects: | C30 - Documentation et information, 000 - Autres thèmes, U10 - Informatique, mathématiques et statistiques, U30 - Méthodes de recherche, |
| Online Access: | http://agritrop.cirad.fr/576982/ http://agritrop.cirad.fr/576982/1/PacificVis_wang.pdf |
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| Summary: | In this work, we introduce SentiCompass for exploring and comparing the sentiments of time-varying Twitter data. Our visualization design combines 2D psychology model of affect (i.e. emotion) with a time tunnel representation. To illustrate our visualization design, two case studies are conducted. They demonstrate the effectiveness of SentiCompass in achieving various tasks related to temporal sentiment and affective analysis of tweets. The interactive demo of our system is available at: http://youtube/ZaMF6VNO7tA. |
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