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
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569525
