Feature-opinion Pair Identification in Chinese Online Reviews Based on Domain Ontology Modeling Method
Kaiqiang Guo · Systems Engineering · 2013
With the development of social media,the increasing product online reviews are greatly influencing electronic market,making review mining hot topic in both business and academic circles.According to the characteristics of Chinese online review,this research proposes a novel ontology-based modeling method to build review mining model and to identify the basic appraisal expression in online reviews-feature-opinion pair(FOP).Guided by the design science research methodology,this paper establishes a domain ontology for product review firstly,then designs algorithms to identify feature-opinion pair based on the ontology,and conducts several experiments to evaluate the proposed review mining model.Experimental results indicate that the performance of the proposed approach in this paper is remarkably better than the two baseline methods,a statistic method and a semantic method.Furthermore,through identifying and analyzing feature-opinion pairs,the unstructured product review is converted into the structured and machine-sensible expression,and provides valuable information for business application.