CRFs-based Information Extraction of Product Reviews
Liu Ku · Journal of Hubei University of Technology · 2015
Focusing on commodity attributes,this paper adopts conditional random fields(CRFs)method to mine the consumers′emotional point of view and the attitude strength toward products.Through the learning of manual tags on product reviews,the automatic extraction of commodity attributes and corresponding assessments was realized.On this account,the key information in product reviews was identified.The three dimensions of key information in this study include attributes of goods,and related comments emotional point of view,and the degree of strength of emotion.Simulation results show that,with the help of the word itself and part of speech features,as well as the characteristic of the relationship between the location of the word,CRFs method has a higher precision and recall rate of information extraction on product reviews.