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基于文本挖掘的不同购物网站商品评论一致性研究
引用本文:施国良,石桥峰.基于文本挖掘的不同购物网站商品评论一致性研究[J].现代图书情报技术,2011(12):64-68.
作者姓名:施国良  石桥峰
作者单位:河海大学商学院
基金项目:教育部人文社会科学基金项目“组织间关系对软件外包联盟拓展市场能力的影响研究”(项目编号:10yjc630085);江苏省教育厅哲学社会科学基金重点项目“企业国际化发展中技术平台战略选择研究”(项目编号:09SJD630003);“211工程”三期重点学科建设项目(技术经济与管理)的研究成果之一
摘    要:基于文本挖掘的理论,提出不同购物网站商品评论对比分析的方法,对不同购物网站同一商品评论是否一致进行研究。首先对商品单个特征的评论进行对比分析,然后衍生到商品的整体特征对比。研究发现,不同购物网站对同一商品的评论并不完全一致,这种不一致主要体现在商品特征上面,这说明商品评论会因为购物网站的不同而有所差异。

关 键 词:商品评论  购物网站  文本挖掘

Text Mining- based Consistency of Product Reviews in Different Shopping Websites
Shi Guoliang Shi Qiaofeng.Text Mining- based Consistency of Product Reviews in Different Shopping Websites[J].New Technology of Library and Information Service,2011(12):64-68.
Authors:Shi Guoliang Shi Qiaofeng
Institution:Shi Guoliang Shi Qiaofeng (Business School,Hohai University,Nanjing 211100,China)
Abstract:Based on the theory of text mining,this paper puts forward a contrast method of product reviews in different shopping websites,and makes analysis on whether the product reviews from different shopping websites are consistent. Firstly,this paper analyses the reviews of product feature one by one.Then,it makes contrast analysis from one product feature to total product features.The study discovers that the reviews of the same product from different shopping websites are not completely consistent,and this inconsistency mainly reflects in product features,which means product reviews will be different due to different shopping websites.
Keywords:Product reviews  Shopping websites  Text mining
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