Research on Product Optimization Based on IPCA Analysis of User Reviews:Case Study of Tablets on JD.com
[Purpose/significance]This paper uses text analysis technology to dig out the topics of user concern from the user re-view texts,and combines with the Importance-Performance Competitor Analysis(IPCA),to explore how to optimize the product,so as to improve the product competitiveness.[Method/process]By collecting user review texts of tablets in JD.com,using LDA topic min-ing method to obtain the topics of concern and theme-related subject words in user review texts,and combining with sentiment analysis technology to build IPCA model,this paper carries out product optimization analysis based on the constructed model.[Result/conclu-sion]Customer service lies in the advantage area,gifts,accessories and systems lie in the positive competition area,logistics service and appearance design lie in the urgent action area,and hardware performance lies in the ineffective advantage area.The built IPCA model based on user reviews can be carries out targeted analysis of product optimization,which points out the directions of product opti-mization.
user reviewIPCA analysistext analysisproduct optimization
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