NewsVAT: an interactive visual analytics tool for news exploration
Authors: 
Xiaojuan Liu, 
Xia LinAuthors Info & Claims
Pages 39 - 42
Abstract
News articles have become an important data source for the general public and researchers. We have developed an interactive visual analytics tool for news exploration (NewsVAT). It includes four main components: preprocessing, analysis, visualization engine and an interface for news exploration. NewsVAT takes news articles as input, and outputs animations reflecting the content of these documents. It provides time series visualization, spatial visualization, co-occurrence network, etc. Rich, flexible and interactive visualization is the prominent feature. In order to test the effectiveness of NewsVAT, a case study was conducted which partly proves the system is effective in news exploration and a helpful aid to research work. Further development includes refining the interactive visualization and improving the accuracy of automatic extraction.
References
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Bostock, M., Ogievetsky, V., and Heer, J. 2011. D3: Data-Driven Documents. IEEE T VIS COMPUT GR, 17, 12 (Dec. 2011), 2301-2309. DOI= http://doi.ieeecomputersociety.org/10.1109/TVCG.2011.185.
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Thomas, J. and Cook, K. 2005. "Chapter 1: Grand Challenges." in Illuminating the Path: The Research and Development Agenda for Visual Analytics. IEEE Press, Los Alamitos, CA.
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Index Terms
- NewsVAT: an interactive visual analytics tool for news exploration
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Information
Published In
September 2012
122 pages
ISBN:9781450317825
DOI:10.1145/2397696
- General Chairs:
- Huamin Qu,
- Wei Chen,
- Program Chairs:
- Philip T. Cox,
- Shixia Liu
Copyright © 2012 ACM.
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Sponsors
- State Key Lab of CAD & CG: State Key Lab of CAD & CG, Zhejiang University
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 27 September 2012
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VINCI '12
Sponsor:
- State Key Lab of CAD & CG
VINCI '12: The International Symposium on Visual Information Communication and Interaction
September 27 - 28, 2012
Hangzhou, China
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Overall Acceptance Rate 71 of 193 submissions, 37%
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