标准科学Issue(6)：41-50,10.DOI:10.3969/j.issn.1674-5698.2025.06.006
基于在线评论和量化Kano模型的用户需求识别研究
Research on User Requirement Identification Based on Online Reviews and Quantitative Kano Model
摘要
Abstract
[Objective]Through the analysis of user online review data,the study helps enterprises to accurately identify and understand user requirements.[Methods]A user requirement identification method based on online reviews and quantitative Kano model is constructed.Firstly,the LDA model is used to cluster the topics of users'online reviews.Then,BosonNLP and text mining techniques are used to calculate user satisfaction and attention indicators,respectively.Finally,the quantitative Kano model is constructed to identify and classify different requirements of users.[Results].This paper takes the Xiaomi community as a case study.The experimental results show that there are significant differences in the attention and satisfaction of users in different product attributes,such as screen size and application ecological compatibility are must-be requirement,battery is an attractive requirement,system smoothness is a one-dimensional requirement,and image clarity and color are indifferent requirements.[Conclusion]This method breaks through the limitations of traditional research with strong subjectivity,and provides a data-driven decision-making basis for enterprises to improve user satisfaction and optimize resource allocation.关键词
在线评论/用户需求/LDA模型/Kano模型Key words
online reviews/user requirement/LDA model/Kano model引用本文复制引用
曲壮,方兴华,宋明顺..基于在线评论和量化Kano模型的用户需求识别研究[J].标准科学,2025,(6):41-50,10.基金项目
本文受教育部人文社会科学研究青年基金项目"生产商主导型C2M模式下产品优化配置研究:基于异质性顾客需求视角"(项目编号:22YJC630022) （项目编号:22YJC630022）
浙江省基本科研业务费资助项目"考虑顾客需求异质性的质量设计方法研究"(项目编号:2022YW29) （项目编号:2022YW29）
浙江省软科学重点项目"浙江省数字经济创新提质发展思路研究"(项目编号:2024C25046)资助. （项目编号:2024C25046）
