Title :
Context-Preserving, Dynamic Word Cloud Visualization
Author :
Weiwei Cui ; Yingcai Wu ; Shixia Liu ; Furu Wei ; Zhou, M.X. ; Huamin Qu
Author_Institution :
Hong Kong Univ. of Sci. & Technol., Hong Kong, China
Abstract :
The proposed method uses context-preserving, dynamic word clouds to illustrate content evolution. It generates a sequence of word clouds in which related words are grouped together. This sequence is then coupled with a trend chart that summarizes content changes so that users can better explore large collections of documents.
Keywords :
data visualisation; word processing; content evolution; document collection; dynamic word cloud visualization; Clouds; Entropy; Histograms; Layout; Semantics; Tag clouds; Visualization; computer graphics; graphics and multimedia; text visualization; visual analysis; visual summarization; word clouds;
Journal_Title :
Computer Graphics and Applications, IEEE
DOI :
10.1109/MCG.2010.102
