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Real-Time Visual Analytics for Text Streams
July 2013 (vol. 46 no. 7)
pp. 47-55
Daniel A. Keim, University of Konstanz, Germany
Milos Krstajic, University of Konstanz, Germany
Christian Rohrdantz, University of Konstanz, Germany
Tobias Schreck, University of Konstanz, Germany
Combining automated analysis and visual-interactive displays helps analysts rapidly sort through volumes of raw text to detect critical events and identify surrounding issues. The Web extra at is a video segment demonstrating the use of the visual analytics time-density plots to analyze text data streams. The dataset used for this analysis is a collection of microblog messages that was provided as part of VAST Challenge 2011.
Index Terms:
Visual analytics,Data visualization,Knowledge discovery,Real-time systems,Interactive systems,real-time data analysis,visual analytics,knowledge discovery,interactive data visualization
Daniel A. Keim, Milos Krstajic, Christian Rohrdantz, Tobias Schreck, "Real-Time Visual Analytics for Text Streams," Computer, vol. 46, no. 7, pp. 47-55, July 2013, doi:10.1109/MC.2013.152
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