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
Link To Document :
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