DocumentCode
2034226
Title
Opinion mining of camera reviews based on Semantic Role Labeling
Author
Li, Xiaojun ; Dai, Lin ; Shi, Hanxiao
Author_Institution
Coll. of Comput. Sci. & Inf. Eng., Zhejiang Gongshang Univ., Hangzhou, China
Volume
5
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
2372
Lastpage
2375
Abstract
Based on the analysis of the existing opinion mining techniques, mining accuracy and complexity, this paper proposes a opinion mining system which mines useful opinion information from camera reviews by utilizing Semantic Role Labeling (SRL) and polarity computing method. Feature lexicon and sentiment lexicon are constructed to mine features and emotional items. In the end, the comparison between positive and negative opinion are presented visually. Our experimental results show the system is feasible and effective.
Keywords
data mining; semantic Web; camera reviews; emotional items; feature lexicon; opinion mining; polarity computing method; semantic role labeling; sentiment lexicon; Accuracy; Cameras; Construction industry; Crawlers; Feature extraction; Semantics; Special issues and sections; SRL; feature lexicon; opinion mining; sentiment lexicon;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-5931-5
Type
conf
DOI
10.1109/FSKD.2010.5569525
Filename
5569525
Link To Document