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山东大学学报（理学版） ›› 2015, Vol. 50 ›› Issue (03): 28-31.doi: 10.6040/j.issn.1671-9352.3.2014.186

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基于网络评论的消费者重购行为意向挖掘

崔雪莲, 洪月, 那日萨   

  1. 大连理工大学系统工程研究所, 辽宁 大连 116024
  • 收稿日期:2014-08-28 修回日期:2015-01-16 出版日期:2015-03-20 发布日期:2015-03-13
  • 通讯作者: 那日萨(1970- ),教授,博士生导师,研究方向为情感计算、文本挖掘.E-mail:nmgnrs@dlut.edu.cn E-mail:nmgnrs@dlut.edu.cn
  • 作者简介:崔雪莲(1989- ),女,博士研究生,研究方向为情感计算、电子商务.E-mail:cxuelian@mail.dlut.edu.cn
  • 基金资助:
    国家自然科学基金面上项目(61471083);教育部人文社科研究规划基金项目(14YJA630044)

Consumer repurchases intention mining analysis based on online review

CUI Xue-lian, HONG Yue, ZHAO Narisa   

  1. Institute of Systems Engineering, Dalian University of Technology, Dalian 116024, Liaoning, China
  • Received:2014-08-28 Revised:2015-01-16 Online:2015-03-20 Published:2015-03-13

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摘要： 从消费者情感和网站促销因素两个角度出发,依据网络消费者再购行为模型和计划行为理论,构建了消费者重复购买意向模型;通过对消费者在线评论的情感词的提取和语义分析,计算消费者满意度和信任感,进而由模糊推理得出消费者重购意向值。最后,根据消费者的重购意向值和商品收藏数量对商品进行分类,并为商家提出有效的营销建议。

关键词: 情感计算, 模糊推理, 网络评论, 消费者行为

Abstract: According to the online consumer repurchase behavior model and the theory of planned behavior, the consumer repurchase behavior intention model was built from both the consumer emotions and website external promotion factor. And through the online review extraction and semantic analysis of the emotional words the consumer satisfaction and trust were computed. Then the repurchases intention of consumers was also gotten based on the fuzzy inference theory. Finally, according to the repurchase intention of consumers for different products and the number of online product collections, the products were classified and effective marketing advices for businesses was given.

Key words: online review, fuzzy inference, consumer behavior, affective computing

中图分类号: 

  • TP391
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