DocumentCode :
2374531
Title :
Using collective intelligence for opinion analysis and tendency determination
Author :
Lu, Ming-Yi ; Lin, Hung-Lung ; Hou, Jiang-Liang
Author_Institution :
Dept. of Ind. Eng. & Eng. Manage., Nat. Tsing Hua Univ., Hsinchu, Taiwan
fYear :
2012
fDate :
23-25 May 2012
Firstpage :
179
Lastpage :
186
Abstract :
Explosively-growing information provides people various and feasible solutions in decision making. According to the collective intelligence (CI) theory, as individuals in a community can express their opinions independently and all of the opinions are integrated by an appropriate scheme to result in tendency, such tendency would be more “intelligent” than the opinion of the most intelligent expert in the community. The three stages include “analysis of opinions contents”, “representation of formatted opinion contents”, and “analysis of opinions tendency and representation of conclusions”. Based on the proposed methodology, a collective intelligence for opinion analysis and tendency determination system is developed, and a real-world case is used to evaluate the feasibility and performance of the proposed methodology. Therefore, this research attempts to develop a system that can help decision makers to acquire a valuable reference and to make the best decision for evaluating real decision cases in the decision making process.
Keywords :
artificial intelligence; data mining; decision making; collective intelligence; collective intelligence theory; decision making process; explosively-growing information; formatted opinion content representation; opinion analysis; opinion content analysis; tendency determination system; Convergence; Decision making; Collective intelligence; decision making; opinion Introduction (Heading 1);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Supported Cooperative Work in Design (CSCWD), 2012 IEEE 16th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4673-1211-0
Type :
conf
DOI :
10.1109/CSCWD.2012.6221816
Filename :
6221816
Link To Document :
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