计算机应用与软件Issue(12)：39-44,6.DOI:10.3969/j.issn.1000-386x.2014.12.009
基于情感计算的商品评论分析系统
A PRODUCT REVIEWS ANALYSIS SYSTEM BASED ON AFFECTIVE COMPUTING
摘要
Abstract
To solve the product review information overload problem in e-commerce,affective computing theory is applied to provide a sen-timent analysis result for consumers in product feature granularity by mining the product features from product reviews information and the cor-responding praise and derogatory sentiment attitude so that to help the consumers get useful information rapidly from large amount of product reviews.The system first collects the assigned product reviews set and mines the product features,then performs calculation in conjunction with emotional corpus and word similarity,and finds out the feature-polarity word pair as well as degree adverb and negatives according to depend-ence relation.Based on the above results,considering the strength of degree adverb and the semantic differences caused by different word order of co-occurring of degree adverb and negatives,we present the calculation means of the sentiment inclination degree of product reviews.Final-ly,the system is implemented and the effectiveness of the algorithm is verified.Experimental result demonstrates that the system has good ap-plied effect.关键词
电子商务/商品评论/关联规则/句法分析/情感计算Key words
E-commerce/Product reviews/Associate rule/Syntax analysis/Affective computing分类
信息技术与安全科学引用本文复制引用
林钦和,刘钢,陈荣华..基于情感计算的商品评论分析系统[J].计算机应用与软件,2014,(12):39-44,6.
