SentiCompass: Interactive visualization for exploring and comparing the sentiments of time-varying twitter data

Abstract : 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://youtu.be/ZaMF6VNO7tA
Type de document :
Communication dans un congrès
IEEE. PacificVis: Pacific Visualization Symposium, Apr 2015, Hangzhou, China. pp.129-133, 2015, 〈10.1109/PACIFICVIS.2015.7156368〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01184555
Contributeur : Mathieu Roche <>
Soumis le : dimanche 16 août 2015 - 04:30:52
Dernière modification le : jeudi 24 mai 2018 - 15:59:25

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Florence Ying Wang, Arnaud Sallaberry, Karsten Klein, Masahiro Takatsuka, Mathieu Roche. SentiCompass: Interactive visualization for exploring and comparing the sentiments of time-varying twitter data . IEEE. PacificVis: Pacific Visualization Symposium, Apr 2015, Hangzhou, China. pp.129-133, 2015, 〈10.1109/PACIFICVIS.2015.7156368〉. 〈lirmm-01184555〉

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