消费者购买教育机器人满意度影响因素研究——基于LDA和IPA的在线评论分析

Research on Consumer Satisfaction Influencing Factors in the Purchase of Educational Robots—Analysis of Online Reviews Based on LDA and IPA

摘要: 为了深入探讨影响消费者对教育机器人购买满意度的关键因素，本研究运用Python网络爬虫技术，从京东商城收集了大量关于教育机器人的在线评论数据。通过数据预处理和利用隐含狄利克雷分布(LDA)模型进行文本主题挖掘，研究成功识别出消费者关注的关键因素。同时，情感计算结果显示了消费者评分与情感倾向之间的正相关关系。进一步地，研究采用重要性–满意度分析(IPA)模型对各因素在影响消费者满意度方面的重要性和实际表现进行了评估。研究结果为企业优化产品、提升消费者满意度和制定市场策略提供了重要依据。

Abstract: To explore the key factors affecting consumer satisfaction with the purchase of educational robots, this study employs Python web scraping techniques to collect a substantial dataset of online reviews from JD.com. Through data preprocessing and text topic mining using the Latent Dirichlet Allocation (LDA) model, the research successfully identifies the critical factors of consumer focus. Additionally, sentiment analysis reveals a positive correlation between consumer ratings and sentiment tendencies. Furthermore, the study utilizes the Importance-Performance Analysis (IPA) model to assess the significance and actual performance of these factors in influencing consumer satisfaction. The findings provide crucial evidence for enterprises to optimize products, enhance consumer satisfaction, and formulate marketing strategies.