Story Explorer: A Visual Analysis Tool for Heterogeneous Text Data

Chenglong Wang, Zhengjie Miao, Siming Chen, Zipeng Liu, Zuchao Wang, Zhenhuang Wang, Xiaoru Yuan

Abstract

In this poster, we propose Story Explorer, a visual analytic system for text datafrom multiple sources. With various visualizations, our system can help analysts identifyconflicts 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 theevents.

Publication
In 2014 IEEE Conference on Visual Analytics Science and Technology (VAST)
Date
November, 2014
Links

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