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2015 IEEE Pacific Visualization Symposium (PacificVis) (2015)
Hangzhou, China
April 14, 2015 to April 17, 2015
ISBN: 978-1-4673-6879-7
pp: 129-133
Florence Ying Wang , LIRMM & Université de Montpellier, France
Arnaud Sallaberry , LIRMM & Université Paul Valéry Montpellier, France
Karsten Klein , Monash University, Australia
Masahiro Takatsuka , The University of Sydney, Australia
Mathieu Roche , TETIS & LIRMM, France
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
INDEX TERMS
Data visualization, Visualization, Nominations and elections, Twitter, Image color analysis, Psychology, Australia,H.5.2 [Information Interfaces and Presentation]: Application—User Interfaces;,
CITATION
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", 2015 IEEE Pacific Visualization Symposium (PacificVis), vol. 00, no. , pp. 129-133, 2015, doi:10.1109/PACIFICVIS.2015.7156368
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