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2010

Context-Preserving, Dynamic Word Cloud Visualization

9 years 2 days ago
Context-Preserving, Dynamic Word Cloud Visualization
In this paper, we introduce a visualization method that couples a trend chart with word clouds to illustrate temporal content evolutions in a set of documents. Specifically, we use a trend chart to encode the overall semantic evolution of document content over time. In our work, semantic evolution of a document collection is modeled by varied significance of document content, represented by a set of representative keywords, at different time points. At each time point, we also use a word cloud to depict the representative keywords. Since the words in a word cloud may vary one from another over time (e.g., words with increased importance), we use geometry meshes and an adaptive force-directed model to lay out word clouds to highlight the word differences between any two subsequent word clouds. Our method also ensures semantic coherence and spatial stability of word clouds over time. Our work is embodied in an interactive visual analysis system that helps users to perform text analysis ...
Weiwei Cui, Yingcai Wu, Shixia Liu, Furu Wei, Mich
Added 28 Feb 2011
Updated 28 Feb 2011
Type Journal
Year 2010
Where CGA
Authors Weiwei Cui, Yingcai Wu, Shixia Liu, Furu Wei, Michelle X. Zhou, Huamin Qu
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