Research on Sentiment Orientation Analysis of Product Online Reviews
Zhang Hongbin1, Li Guangli2
1. School of Software, East China Jiaotong University, Nanchang 330013, China; 2. School of Information Engineering, East China Jiaotong University, Nanchang 330013, China
Abstract：This paper aims at resolving the semantic mining problem of product online reviews by using the technology of sentiment orientation analysis. The sentiment orientation polar is firstly analyzed and the intensity of sentiment orientation analysis is computed to correctly express the inner semantic of product online reviews. The reviews of Xiaomi mobile phone and Motorola ME525+ mobile phone on Taobao are chosen to do the experiments. The results show that the precision of each auto-scoring of sentiment orientation analysis can reach 80% and most attribute indicators of products can get correct sentiment orientation polar, Which can help Web users to make correct purchase decisions to some extent.
张红斌, 李广丽. 商品在线评价的情感倾向性分析研究[J]. 现代图书情报技术, 2012, (10): 61-66.
Zhang Hongbin, Li Guangli. Research on Sentiment Orientation Analysis of Product Online Reviews. New Technology of Library and Information Service, 2012, (10): 61-66.
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