DocumentCode
3116980
Title
SentiCompass: Interactive visualization for exploring and comparing the sentiments of time-varying twitter data
Author
Wang, Florence Ying ; Sallaberry, Arnaud ; Klein, Karsten ; Takatsuka, Masahiro ; Roche, Mathieu
Author_Institution
LIRMM, Univ. de Montpellier, Montpellier, France
fYear
2015
fDate
14-17 April 2015
Firstpage
129
Lastpage
133
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.
Keywords
data visualisation; interactive systems; social networking (online); text analysis; SentiCompass; Twitter data sentiment; interactive visualization; Australia; Data visualization; Image color analysis; Nominations and elections; Psychology; Twitter; Visualization; H.5.2 [Information Interfaces and Presentation]: Application—User Interfaces;;
fLanguage
English
Publisher
ieee
Conference_Titel
Visualization Symposium (PacificVis), 2015 IEEE Pacific
Conference_Location
Hangzhou
Type
conf
DOI
10.1109/PACIFICVIS.2015.7156368
Filename
7156368
Link To Document