Research on remedial measures for negative reviews of e-commerce products based on sentiment analysis
Negative reviews of products on third-party shopping platforms have adverse effects on consumers'purchase intentions,merchants'credit ratings,and platform transaction conversions,which need to be remedied through effective measures.Analyzing the negative comments and putting forward relevant suggestions has certain reference significance for the improvement of marketing strategies and customer relationship management of merchants.Taking the current domestic mainstream brand Xiaomi mobile phone as the research object,using the Octopus collector to crawl the comment content of Jingdong Mall for sentiment analysis,and using the Jieba word segmentation,word cloud map,and LDA topic model to analyze the negative comments of the product.The main negative comments of consumers on Xiaomi mobile phones on the platform are reflected in six aspects,which bring a bad experience to consumers,and the brand side should pay attention to it and implement remedies.
Emotional AnalysisNegative Review RemedyTopic Model
万方数据
维普
