Topic Tracker : Shape-based Visualization for Trend and Sentiment Tracking in Twitter

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2012
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Task-Driven Analysis of Social Media : The 2nd Workshop on Interactive Visual Text Analytics. Part of the VisWeek 2012, October 14 - 19, 2012, Seattle. 2012
Zusammenfassung

In recent years there has been a continuous development of social media services on the web. Unprecedented success and active usage of these services result in massive amounts of user-generated data. Visual representation of these large amounts of unevenly distributed time series data is a challenging task, especially while preserving access to individual data points. Our hypothesis is that shape-based visual representations have advantages over established time series compression visualizations like Two-Tone Pseudo Coloring or line graphs. In this paper we present a shape-based visualization for trend and sentiment tracking of user-defined topics in the Twitter data stream. We use glyphs to visualize the appearance and sentiment of tweets on a timeline and enable analysts to keep track of the trend of their defined topic and the corresponding sentiment expressed by the Twitter users.

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004 Informatik
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VisWeek, 14. Okt. 2012 - 19. Okt. 2012, Seattle
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ISO 690WANNER, Franz, Andreas WEILER, Tobias SCHRECK, 2012. Topic Tracker : Shape-based Visualization for Trend and Sentiment Tracking in Twitter. VisWeek. Seattle, 14. Okt. 2012 - 19. Okt. 2012. In: Task-Driven Analysis of Social Media : The 2nd Workshop on Interactive Visual Text Analytics. Part of the VisWeek 2012, October 14 - 19, 2012, Seattle. 2012
BibTex
@inproceedings{Wanner2012Topic-26415,
  year={2012},
  title={Topic Tracker : Shape-based Visualization for Trend and Sentiment Tracking in Twitter},
  booktitle={Task-Driven Analysis of Social Media : The 2nd Workshop on Interactive Visual Text Analytics. Part of the VisWeek 2012, October 14 - 19, 2012, Seattle},
  author={Wanner, Franz and Weiler, Andreas and Schreck, Tobias}
}
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