DocumentCode :
2259464
Title :
A Framework to Answer Questions of Opinion Type
Author :
Su, Xiangdong ; Gao, Guanglai ; Tian, Yu
Author_Institution :
Sch. of Comput. Sci., Inner Mongolia Univ., Hohhot, China
fYear :
2010
fDate :
20-22 Aug. 2010
Firstpage :
166
Lastpage :
169
Abstract :
In this paper, we propose a framework to answer questions of opinion type. The data source is the web pages returned from the search engine. By using Bayes Classifier, the main texts on the pages are classified into three categories at sentence level: positive review, negative review and neutral review. K-means method is used to cluster the sentences of positive review and negative review respectively. The final answers are extracted from the sentence groups after clustering and presented in the form of quaternion. We design a system to test this framework. The experimental results show that it is effective.
Keywords :
Bayes methods; Web sites; feature extraction; pattern classification; pattern clustering; query processing; search engines; text analysis; Bayes classifier; K-means method; Web page; answer extraction; data source; negative review; neutral review; opinion type; positive review; question answering; search engine; Book reviews; Computers; Conferences; Data mining; Feature extraction; Quaternions; Web pages; Classification; Clustering; Information Retrieval; Opinion Mining; Question Answering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Information Systems and Applications Conference (WISA), 2010 7th
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-8440-9
Type :
conf
DOI :
10.1109/WISA.2010.22
Filename :
5581311
Link To Document :
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