Visualization Symposium, IEEE Pacific (2011)
Hong Kong, China
Mar. 1, 2011 to Mar. 4, 2011
Text streams demand an effective, interactive, and on-the-fly method to explore the dynamic and massive data sets, and meanwhile extract valuable information for visual analysis. In this paper, we propose such an interactive visualization system that enables users to explore streaming-in text documents without prior knowledge of the data. The system can constantly incorporate incoming documents from a continuous source into existing visualization context, which is “physically” achieved by minimizing a potential energy defined from similarities between documents. Unlike most existing methods, our system uses dynamic keyword vectors to incorporate newly-introduced keywords from data streams. Furthermore, we propose a special keyword importance that makes it possible for users to adjust the similarity on-the-fly, and hence achieve their preferred visual effects in accordance to varying interests, which also helps to identify hot spots and outliers. We optimize the system performance through a similarity grid and with parallel implementation on graphics hardware (GPU), which achieves instantaneous animated visualization even for a very large data collection. Moreover, our system implements a powerful user interface enabling various user interactions for in-depth data analysis. Experiments and case studies are presented to illustrate our dynamic system for text stream exploration.
user interfaces, computer graphic equipment, coprocessors, data analysis, data visualisation, interactive systems, minimisation, text analysis, STREAMIT, data sets, interactive visualization system, text document streaming, dynamic keyword vector, system performance optimization, graphics hardware, user interface, data analysis, text stream exploration, Visualization, Dynamics, Animation, Data visualization, Computational modeling, Layout, Graphics processing unit
"STREAMIT: Dynamic visualization and interactive exploration of text streams," 2011 IEEE Pacific Visualization Symposium (PacificVis)(PACIFICVIS), Hong Kong, 2011, pp. 131-138.