Satisfaction Analysis of Domestic Consumers of Sex Toys Based on Text Mining
Using 15 078 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.
sex toysconsumer satisfactiontext miningonline reviews
万方数据
维普
