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
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;;
Conference_Titel :
Visualization Symposium (PacificVis), 2015 IEEE Pacific
Conference_Location :
Hangzhou
DOI :
10.1109/PACIFICVIS.2015.7156368
