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ABSTRACT
We propose Story Explorer, a visual analytic system for text data from multiple sources. With various visualizations, our system can help analysts identify conflicts and correlations in large volume of text data, and detect patterns of group of people. Thus analysts can discover the development of events and find the suspicious people in the events.
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CITATION
"Story explorer: A visual analysis tool for heterogeneous text data", , vol. 00, no. , pp. 335-336, 2014, doi:10.1109/VAST.2014.7042553
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