基于文本挖掘的国内性用品消费者满意度分析  

Satisfaction Analysis of Domestic Consumers of Sex Toys Based on Text Mining

作　　者：史琼 SHI Qiong(School of English,Tianjin Foreign Studies University,Tianjin 300200,China)

机构地区：[1]天津外国语大学英语学院,天津300200

出　　处：《科技和产业》2024年第22期143-147,共5页Science Technology and Industry

摘　　要：利用京东电商平台10个国内成人用品的15078份在线评论,分析消费者对国内成人用品的满意度。构建LDA(latent Dirichlet allocation)主题模型和情感分析模型,结合高频关键词、词云图和正负面情感分类,分析消费者的态度。结果表明,消费者的正面评价占比为74.4%,远大于负面评价,主要关注商品质量、使用效果、商品功能和物流服务。消费者购买成人用品较为满意,但商家仍需多关注差评原因,未来需着重关注消费者的满意度,提供更优质的性用品。Using 15078 online reviews of 10 domestic sex toys on JD’s e-commerce,consumers’satisfaction with domestic sex toys was analyzed.The latent Dirichlet allocation(LDA)model and sentiment analysis model were built,combine high-frequency keywords,word-cloud map,and positive and negative emotion classification were combined,consumer attitudes were analyzed.The results show that positive evaluation of consumers accounts for 74.4%,which is far more than the negative evaluation,mainly focusing on commodity quality,use effect,commodity function and logistics services.Consumers are satisfied with sex toys,but business still need to pay more attention to the reasons for the bad reviews.In the future,they should focus on consumer satisfaction and provide better sex toys.

关 键 词：成人用品 消费者满意度 文本挖掘 在线评论 

分 类 号：F274[经济管理—企业管理]