DocumentCode
3102113
Title
Term extraction from web reviews with opinion heuristics
Author
Xia, Yun-qing ; Hao, Bo-yi ; Dai, Liu-ling
Author_Institution
Tsinghua Nat. Lab. for Inf. Sci. & Technol., Tsinghua Univ., Beijing, China
Volume
6
fYear
2009
fDate
12-15 July 2009
Firstpage
3516
Lastpage
3521
Abstract
Term extraction from Web reviews should obviously be benefitted from the large volume of reviews on products or services. This paper addresses the opinion heuristics including opinion patterns and opinion collocations. The opinion target network is proposed in this paper to model the opinion patterns in a two-layer direct graph. Meanwhile, the unified collocation framework is presented to model the opinion collocations. With the opinion target network, a term extraction method is designed to locate opinion terms in a bootstrapping process. A term filtering method is also implemented based on the unified collocation framework. Experimental results show that our method for term extraction is promising.
Keywords
graph theory; knowledge acquisition; text analysis; Web review; bootstrapping process; direct graph; opinion collocation; opinion heuristics; opinion pattern; opinion target network; term extraction; term filtering method; unified collocation framework; Computer science; Cybernetics; Data mining; Design methodology; Filtering; Information retrieval; Information science; Laboratories; Machine learning; Natural language processing; Natural language processing; Opinion mining; Opinion target network; Term extraction;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location
Baoding
Print_ISBN
978-1-4244-3702-3
Electronic_ISBN
978-1-4244-3703-0
Type
conf
DOI
10.1109/ICMLC.2009.5212763
Filename
5212763
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