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
Complete list of metadatas

https://hal-lirmm.ccsd.cnrs.fr/lirmm-01184555
Contributor : Mathieu Roche <>
Submitted on : Sunday, August 16, 2015 - 4:30:52 AM
Last modification on : Wednesday, September 18, 2019 - 4:04:04 PM

Identifiers

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. PacificVis: Pacific Visualization Symposium, Apr 2015, Hangzhou, China. pp.129-133, ⟨10.1109/PACIFICVIS.2015.7156368⟩. ⟨lirmm-01184555⟩

Share

Metrics

Record views

438