【摘要】 随着数字经济的发展和生活水平的提高，电商平台中高客单价商品的销量不断增加，在线评论成为影响消费者购买决策的关键要素之一。针对京东平台的在线评论数据，提出一种基于情感指数和TF-IDF词频分析的高客单价商品情感指数计算模型来量化消费者情感指数，采用灰色关联分析法探索消费者物流服务情感指数与消费者总情感指数的相关性，结果表明消费者物流服务情感指数与消费者总情感指数之间的关联度极高，挖掘出对高客单价商品消费者情感影响较大的五个关键物流因素：配送、安装、服务态度、售后服务以及包装。更多还原

【Abstract】 With the rapid development of the economy and the improvement of people’s living standards, the sales of high-unit-price goods in e-commerce platforms have been increasing.At the same time, the importance of online reviews of goods is becoming increasingly significant, becoming one of the key elements influencing consumers’ purchasing decisions.In view of this, based on online review data from the JD e-commerce platform, this paper proposes a model for calculating the sentiment index of customer-unit-priced goods based on sentiment index and TF-IDF word frequency analysis to quantify the consumer sentiment index.And explore the correlation between the sentiment index of consumer logistics services and the total consumer sentiment index using grey correlation analysis.The results show that the correlation between the sentiment index of consumer logistics services and the total consumer sentiment index is high, and five key logistics factors have been identified as having a significant impact on consumer sentiment for high-unit-price goods: delivery, installation, service attitude, after-sales service and packaging.更多还原