数据与计算发展前沿 ›› 2025, Vol. 7 ›› Issue (5): 198-211.

CSTR: 32002.14.jfdc.CN10-1649/TP.2025.05.016

doi: 10.11871/jfdc.issn.2096-742X.2025.05.016

• 技术与应用 • 上一篇    下一篇

基于BERTopic模型的产品需求演化与功能映射应用研究

强威1,2(),罗向东1,2,*(),张希莹1,2   

  1. 1.陕西科技大学，设计与艺术学院，陕西 西安 710021
    2.陕西科技大学，陕西省人工智能联合实验室（陕西科技大学），陕西 西安 710021
  • 收稿日期:2024-12-04 出版日期:2025-10-20 发布日期:2025-10-23
  • 通讯作者: 罗向东
  • 作者简介:强威，陕西科技大学设计与艺术学院，博士生，从事产品大数据设计和文本挖掘研究工作。已发表论文30余篇，申请发明专利4项。
    本文负责论文初稿撰写与数据收集与分析。
    QIANG Wei is a doctoral student at the School of Design and Art, Shaanxi University of Science and Technology, engaged in product big data design and text mining. He has published more than 30 papers and applied for 4 invention patents.
    In this paper, he is mainly responsible for drafting the initial version of the manuscript as well as collecting and analyzing data.
    E-mail: 15066872018@163.com|罗向东，博士、教授、博士生导师，现任陕西科技大学鞋服大数据与标准化研究中心主任。主要从事传统产业数字化设计与鞋服产品设计艺术及文化应用研究。近年来，发表核心以上学术论文30余篇，主编专著2部，主持国家以及企业合作项目30余项，发明专利40多项。
    本文负责制定论文框架。
    LUO Xiangdong, Ph.D., professor and doctoral supervisor, is currently the director of the Footwear Big Data and Standardization Research Center of Shaanxi University of Science and Technology. He is mainly engaged in traditional industry digital design as well as the footwear product design art and cultural application research. In recent years, he has published more than 30 academic papers in core academic journals, served as chief editor of 2 monographs, presided over more than 30 national and enterprise cooperation projects, and holds more than 40 invention patents.
    In this paper, he is mainly responsible for formulating the framework of the manuscript.
    E-mail: nwy0327@126.com
  • 基金资助:
    教育部人文社会科学一般项目(22YJCZH246);陕西省重点研发计划项目(2023-YBGY-144)

Research on Product Requirement Evolution and Function Mapping Based on BERTopic Model

QIANG Wei1,2(),LUO Xiangdong1,2,*(),ZHANG Xiying1,2   

  1. 1. School of Design and Art, Shaanxi University of Science and Technology, Xi’an, Shaanxi 710021, China
    2. Shaanxi Joint Laboratory of Artificial Intelligence (Shaanxi University of Science and Technology), Shaanxi University of Science and Technology, Xi’an, Shaanxi 710021, China
  • Received:2024-12-04 Online:2025-10-20 Published:2025-10-23
  • Contact: LUO Xiangdong

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摘要：

【目的】 通过对智能戒指用户评论文本挖掘，实现用户需求演化与功能映射，为智能戒指产品的优化升级提供了科学依据。【方法】 首先，对智能戒指用户评论文本预处理，分析国内智能戒指用户的地域分布特征，运用BERTopic模型进行用户主题识别和演化趋势分析；其次，运用Kano模型进行需求优先级排序，通过QFD质量屋实现智能戒指功能映射；最后，利用直觉模糊评价方法构建出直觉模糊判断矩阵，计算各指标评价的最终得分。【结果】 智能戒指用户需求从基础体验逐步向健康管理、疾病预测、智能互联等高级功能演变，反映了消费者对智能穿戴设备功能多样化和个性化需求的不断提升。同时用户地域分布的差异为企业制定差异化市场策略提供了重要参考。【结论】 对用户需求与产品功能的映射分析不仅为智能戒指产品的优化升级提供了科学依据，也为产品设计行业如何更好地满足消费者需求、推动技术创新和产业升级提供了实践启示。

关键词: 智能戒指, 需求演化, 功能映射, BERTopic主题模型, 质量屋

Abstract:

[Objective] Through the text mining of smart ring user comments, the evolution of user needs and function mapping is realized, which provides a scientific basis for the optimization and upgrading of smart ring products. [Methods] Firstly, the text of smart ring users’ comments is preprocessed, the regional distribution characteristics of domestic smart ring users are analyzed, and the user topic identification and evolution trend are analyzed by using the BERTopic model. Secondly, the Kano model is used to prioritize demand, and the QFD House of Quality is used to realize function mapping of the smart ring. Finally, the intuitionistic fuzzy judgment matrix is constructed by the intuitionistic fuzzy evaluation method, and the final score of each index evaluation is calculated. [Results] The needs of smart ring users have gradually evolved from basic experience to advanced functions such as health management, disease prediction, and intelligent interconnection, reflecting the continuous improvement of the diversified and personalized consumer needs for smart wearable devices. At the same time, the difference in geographical distribution of users provides an important reference for enterprises to formulate differentiated market strategies. [Conclusions] The mapping analysis of user needs and product functions not only provides a scientific basis for the optimization and upgrading of smart ring products, but also provides practical inspiration for the entire smart hardware industry to better meet the consumer needs, promote technological innovation and industrial upgrading.

Key words: smart ring, demand evolution, function mapping, BERTopic, QFD