Weiwei Cui
Steven Skiena
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.
- J. A. Fitzpatrick, J. Reffell, and M. Aydelott. Breakingstory: visualizing change in online news. In extended abstracts on Human factors in computing systems, pages 900--901, 2003. Google Scholar
Digital Library
- N. Godbole, M. Srinivasaiah, and S. Skiena. Large-scale sentiment analysis for news and blogs. In the Intl. Conf. on Weblogs and Social Media, 2007.Google Scholar
- C. Manning and H. Schutze. Foundations of statistical natural language processing. MIT Press, 2002. Google ScholarDigital Library
- B. Pang and L. Lee. Opinion Mining and Sentiment Analysis. Now Publishers, 2008.Google ScholarCross Ref
- G. Zhou and J. Su. Named entity recognition using an hmm-based chunk tagger. In 40th Annual Meeting of the Association for Computational Linguistics, pages 473--480, Philadelphia, Pennsylvania, USA, 2002. Google ScholarDigital Library
Index Terms
- A dynamic visual interface for news stream analysis
Recommendations
Visual analysis of dynamic data streams
For scientific data visualizations, real-time data streams present many interesting challenges when compared to static data. Real-time data are dynamic, transient, high-volume and temporal. Effective visualizations need to be able to accommodate dynamic ...
Visual Sedimentation
We introduce Visual Sedimentation, a novel design metaphor for visualizing data streams directly inspired by the physical process of sedimentation. Visualizing data streams (e. g., Tweets, RSS, Emails) is challenging as incoming data arrive at ...
Dynamic visualization of transient data streams
INFOVIS'03: Proceedings of the Ninth annual IEEE conference on Information visualizationWe introduce two dynamic visualization techniques using multi-dimensional scaling to analyze transient data streams such as newswires and remote sensing imagery. While the time-sensitive nature of these data streams requires immediate attention in many ...
Comments