Literature review on sentiment analysis of online product reviews
Yijun Li · Guanli kexue xuebao · 2010
Online review sentiment analysis is a novel field of Web data mining,which has widely attracted attentions of the researchers in computer science,economics and management disciplines.Studies on sentiment analysis mainly concentrate on subjectivity detection,sentiment classification,and the effects of online user reviews on product sale.Methods and technologies of text mining,information retrieval,machine learning,natural language processing and statistics are used in most researches,and some specific methods of review sentiment analysis are proposed.This paper presents a survey on the up-to-date development in sentiment analysis.The methods used in current research are especially emphasized and the existing problems of those studies are discussed.Finally,some possible future directions of resesrch are pointed out.