A dynamic visual interface for news stream analysis

Authors:
Weiwei Cui;Hong Zhou;Huamin Qu;Wenbin Zhang;Steven Skiena
Affiliations:
Hong Kong University of Science and Technology, Hong Kong, Hong Kong;Hong Kong University of Science and Technology, Hong Kong, Hong Kong;Hong Kong University of Science and Technology, Hong Kong, Hong Kong;State University of New York at Stony Brook, Stony Brook, NY, USA;State University of New York at Stony Brook, Stony Brook, NY, USA
Venue:
Proceedings of the first international workshop on Intelligent visual interfaces for text analysis
Year:
2010

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Abstract

In this paper, we introduce a new visualization primitive called TextWheel, and present a visual analytics system for news streams which can bring multiple attributes of the news articles and the macro/micro relations between news streams and keywords into one coherent analytical context and meanwhile convey the dynamic natures of news streams. We use our system to analyze several large-scale news corpora related to some major companies and the results demonstrate the high potential of our method.