Title :
Product Feature Grouping for Opinion Mining
Author :
Zhai, Zhongwu ; Liu, Bing ; Wang, Jingyuan ; Xu, Hua ; Jia, Peifa
Abstract :
Review aggregators and e-commerce sites are just two examples of businesses that rely on opinion mining to produce feature-based summaries of products´ qualities. This model first identifies product features and then collects positive and negative opinions on them to produce a summary of good and bad points.
Keywords :
Web sites; data mining; electronic commerce; businesses; e-commerce sites; feature-based summaries; opinion mining; product feature grouping; product qualities; review aggregators; Bayesian methods; Context awareness; Data mining; Feature extraction; Information analysis; Semisupervised learning; opinion mining; product feature grouping; semi-supervised learning;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2011.38
