Cluster Computing

, Volume 21, Issue 1, pp 1023–1031 | Cite as

Consumption experience model and identification based on IWOM and emotional computing

  • Yanqing Han
  • Yuyan Lei
  • Guanju ChenEmail author


Consumer experience types were conducted with fuzzy calculation and type classification by excavating online comment information of e-commerce platform. Based on theoretical framework of five-dimensional system analysis, the work determined two dimensions of experience value and emotion to establish consumer experience classification model. Thereinto, the experience value was determined by fuzzy reasoning theory, with antecedent of practical and hedonic values. Through online collection of IWOM from different phone brands, a corpus was established based on fuzzy words to achieve identification of consumers using different brands, providing marketing advice for enterprise.


Emotional calculating Internet word-of-mouth Consumption experience Fuzzy reasoning 


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Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.School of Economics & ManagementNorthwest UniversityXi’anChina

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