Information Visualization of Special News Text Sets

• Published in: 2008 International Conference on Information Management, Innovation Management and Industrial Engineering Vol. 1; pp. 62 - 66
• Main Authors: Haizhong An, Na Cui, Wenjing Yu, Lixiao Wang, Aihua Zhao
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2008
• Subjects: Data mining; Data visualization; Environmental management; Gas insulated transmission lines; Geology; Industrial engineering; Information analysis; Information management; information visualization; Innovation management; relevance network; Space technology; text clustering
• ISBN: 076953435X; 9780769534350
• ISSN: 2155-1456
• DOI: 10.1109/ICIII.2008.67

Information visualization emerged as peoplepsilas increasingly urgent demand for tacit knowledge when they faced a great amount of information. In order to show tremendous news information in a simple and intuitive way, this paper proposes an information visualization flow of special news text sets. On the basis of the characteristics of special news text sets, we extracted the keywords of news texts from five factors; then we process the keywords by methods of abstracted or decomposed; further a relevance network of keywords is constructed in accordance with the processed keywords to realize the information visualization of special news text sets. Example shows that the presented approach can not only show the information and highlight the relationship between news texts but also facilitate the rapid grasp of main subjects and events and the changes of peoplepsilas attention focus as time changes, so as to enhance the understanding of the information and make full use of it.