2014 IEEE Conference on Visual Analytics Science and Technology (VAST) (2014)
Oct. 25, 2014 to Oct. 31, 2014
Chenglong Wang , Peking University
Zhengjie Miao , Peking University
Siming Chen , Peking University
Zipeng Liu , Peking University
Zuchao Wang , Peking University
Zhenhuang Wang , Peking University
Xiaoru Yuan , Peking University
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.
C. Wang et al., "Story explorer: A visual analysis tool for heterogeneous text data," 2014 IEEE Conference on Visual Analytics Science and Technology (VAST), Paris, France, 2014, pp. 335-336.