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

Florence Ying Wang 1 Arnaud Sallaberry 2, 1 Karsten Klein 3 Masahiro Takatsuka 4 Mathieu Roche 5, 1
1 ADVANSE - ADVanced Analytics for data SciencE
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 UM3 - Université Paul-Valéry - Montpellier 3
3 Monash University [Malaysia]
4 The University of Sydney
5 UMR TETIS - Territoires, Environnement, Télédétection et Information Spatiale
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
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Conference papers
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01184555
Contributor : Mathieu Roche <>
Submitted on : Sunday, August 16, 2015 - 4:30:52 AM
Last modification on : Thursday, July 2, 2020 - 1:58:52 PM

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CNRS | IRSTEA | AGROPARISTECH | CIRAD | ADVANSE | AGROPOLIS | LIRMM | MIPS | UNIV-MONTPELLIER | UNIV-MONTP3 | INRAE

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

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