产品用户评论在企业竞争情报中的应用——基于产品特征的关联规则数据挖掘  

Application of Product User Review in Research on Enterprise Competitive Intelligence——Association Rules Data Mining Based on Product Features

作　　者：吉顺权[1] 周毅[1] 

机构地区：[1]苏州大学社会学院,江苏苏州215123

出　　处：《现代情报》2015年第6期114-121,共8页Journal of Modern Information

基　　金："十二五"江苏省高校重点专业建设专项--图书情报与档案管理(项目编号:58315312)的阶段性成果之一

摘　　要：在总结用户评论相关研究的基础上,提出关联规则理论在用户评论挖掘中的作用,包括可以用来挖掘产品的优劣势特征及其程度大小,以及挖掘影响产品整体评价的关键特征。提出了基于产品特征关联规则数据挖掘的企业竞争情报应用模型,包含确定用户评论情报源及其采集、数据预处理及其产品特征提取、数据结构化处理及其关联规则分析和产品优劣势特征及其关键特征的对比分析四个模块。最后通过实验论证了这一模型的价值。On the basis of summarizing the research on user reviews, this paper put forward the significance of mining user reviews with association rules. It included mining the positive features and the negative features of the products, and mining the key features which affect the overall evaluation of products. And then this paper put forward the model of enterprise competitive in- telligence which based on the association rules data mining from product features. It contained four modules of user review search- ing and collecting, data preprocessing and features extracting, data structured processing and association rules data mining, and positive and negative features analyzing and key features analyzing. In the end, this paper demonstrated the value of the model by experiment.

关 键 词：企业 用户评论 产品特征 关联规则 数据挖掘 竞争情报 

分 类 号：G203[文化科学—传播学] TP391[自动化与计算机技术—计算机应用技术]