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

Ying Wang Florence, Sallaberry Arnaud, Klein Karsten, Takatsuka Masahiro, Roche Mathieu. 2015. SentiCompass: Interactive visualization for exploring and comparing the sentiments of time-varying twitter data. In : 2015 IEEE Pacific Visualization Symposium (PacificVis). s.l. : IEEE Computer Society, pp. 129-133. ISBN 978-1-4673-6879-7 Pacific Vis 2015, Hangzhou, Chine, 14 April 2015/17 April 2015.

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Url - éditeur : http://doi.ieeecomputersociety.org/10.1109/PACIFICVIS.2015.7156368

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://youtube/ZaMF6VNO7tA.

Mots-clés libres : Data visualization, Sentiment analysis

Classification Agris : C30 - Documentation and information
000 - Other themes
U10 - Computer science, mathematics and statistics
U30 - Research methods

Auteurs et affiliations

  • Ying Wang Florence, LIRMM (FRA)
  • Sallaberry Arnaud, LIRMM (FRA)
  • Klein Karsten, Monash University (AUS)
  • Takatsuka Masahiro, University of Sydney (AUS)
  • Roche Mathieu, CIRAD-ES-UMR TETIS (FRA) ORCID: 0000-0003-3272-8568

Source : Cirad-Agritrop (https://agritrop.cirad.fr/576982/)

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