Computer and Modernization ›› 2012, Vol. 1 ›› Issue (6): 13-16.doi: 10.3969/j.issn.1006-2475.2012.06.004

• 人工智能 • Previous Articles     Next Articles

Research on Aided Decision System of Internet Public Opinion Based on CBR

CHEN Xiang1, HONG Fu-jin2, ZHANG Xian-kun3   

  1. 1. Television Station of Wuhu County of Anhui Province, Wuhu 241100, China;2. Land and Resources Bureau of Wuhu County of Anhui Province, Wuhu 241100, China;3. School of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin 300222, China
  • Received:2012-02-13 Revised:1900-01-01 Online:2012-06-14 Published:2012-06-14

Abstract: In order to meet the need of monitoring and aided decision of internet public opinion, a case-based reasoning (CBR) framework for aided decision system of internet public opinion is proposed. Firstly, a survey of study on internet public opinion is made, and the significance of research for aided decision system of internet public opinion based on CBR is given; secondly, the workflow of aided decision system of internet public opinion based on CBR is analyzed, and the framework for aided decision system of internet public opinion based on CBR is proposed; then the key elements of aided decision system of internet public opinion based on CBR are analyzed, such as case representation and case retrieval, and the implementation methods of them are given in detail; finally, a prototype system based on the above is shown, and experimental results show that it is efficient to realize the aided decisions with this system.

Key words: internet public opinion, case-based reasoning (CBR), case representation, case retrieval, similarity degree

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