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基于文本挖掘的防护用品顾客满意度影响因素研究

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随着信息技术和物流技术的迅猛发展,电子商务产品的种类和规模不断扩大.网上购物的在线评论数据呈现出爆炸式增长的趋势,在线评论成为关注的热点.文章以京东平台的口罩、消毒液、洗手液等防护用品为例,通过词频分析、情感倾向分类和主题建模技术,分析影响顾客的满意度因素,并提出建议.实验结果表明,消费者最为关心的是防护用品的价格、品质、使用效果和物流速度.文章结论可以为防护用品维护品牌形象有针对性提升经营策略、提高服务质量、提升物流服务提供参考.
Research on Influencing Factors of Customer Satisfaction of Protective Equipment Based on Text Mining
With the rapid development of information technol-ogy and logistics technology,the types and scale of e-com-merce products are constantly expanding.The online review data of online shopping has shown an explosive growth trend,and online review has become a hot spot of attention.This paper takes masks,disinfectant,hand sanitizer and other pro-tective products from Jingdong platform as examples,analyzes the factors affecting customer satisfaction through word fre-quency analysis,emotional tendency classification and theme modeling technology,and puts forward suggestions.The experi-mental results show that consumers are most concerned about the price,quality,use effect and logistics speed of protective equipment.The conclusions of this study can provide refer-ence for protective equipment to maintain brand image,im-prove business strategy,improve service quality,and improve logistics services.

text miningprotective equipmentconsumer sat-isfactionemotion classificationLDA subject classification

刘敏、车蕾

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北京信息科技大学信息管理学院,北京 100192

文本挖掘 防护用品 消费者满意度 情感分类 LDA主题分类

2025

物流科技
全国物流科技情报信息中心 中国仓储协会

物流科技

影响因子:0.489
ISSN:1002-3100
年,卷(期):2025.48(1)