SentiCompass : Interactive visualization for exploring and comparing the sentiments of time-varying twitter data
SentiCompass : Interactive visualization for exploring and comparing the sentiments of time-varying twitter data
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2015
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2015 IEEE Pacific Visualization Symposium (PacificVis) / Liu, Shixia; Scheuermann, Gerik; Takahashi, Shigeo (ed.). - Piscataway, New Jersey : IEEE, 2015. - (PacificVis ; 8). - pp. 129-133. - ISSN 2165-8765. - eISSN 2165-8773. - ISBN 978-1-4673-6879-7
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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004 Computer Science
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Information visualization -- Congresses ; Computer vision -- Congresses ; Computer graphics -- Congresses, H.5.2 [Information Interfaces and Presentation]: Application—User Interfaces
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2015 IEEE Pacific Visualization Symposium (PacificVis), Apr 14, 2015 - Apr 17, 2015, Hangzhou, China
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YING WANG, Florence, Arnaud SALLABERRY, Karsten KLEIN, Masahiro TAKATSUKA, Mathieu ROCHE, 2015. SentiCompass : Interactive visualization for exploring and comparing the sentiments of time-varying twitter data. 2015 IEEE Pacific Visualization Symposium (PacificVis). Hangzhou, China, Apr 14, 2015 - Apr 17, 2015. In: LIU, Shixia, ed., Gerik SCHEUERMANN, ed., Shigeo TAKAHASHI, ed.. 2015 IEEE Pacific Visualization Symposium (PacificVis). Piscataway, New Jersey:IEEE, pp. 129-133. ISSN 2165-8765. eISSN 2165-8773. ISBN 978-1-4673-6879-7. Available under: doi: 10.1109/PACIFICVIS.2015.7156368BibTex
@inproceedings{YingWang2015-04Senti-44773, year={2015}, doi={10.1109/PACIFICVIS.2015.7156368}, title={SentiCompass : Interactive visualization for exploring and comparing the sentiments of time-varying twitter data}, number={8}, isbn={978-1-4673-6879-7}, issn={2165-8765}, publisher={IEEE}, address={Piscataway, New Jersey}, series={PacificVis}, booktitle={2015 IEEE Pacific Visualization Symposium (PacificVis)}, pages={129--133}, editor={Liu, Shixia and Scheuermann, Gerik and Takahashi, Shigeo}, author={Ying Wang, Florence and Sallaberry, Arnaud and Klein, Karsten and Takatsuka, Masahiro and Roche, Mathieu} }
RDF
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