【摘要】 本文在Kano模型的基础上，提出一种基于在线评论数据挖掘来识别产品需求类型的方法。从在线评论中提取产品属性并进行情感分析，在此基础上构建识别不同属性需求的分类模型。本文以4款5G手机的在线评论数据为素材进行实例分析，将消费者对5G手机产品属性的需求划分为期望需求、必备需求、魅力需求和无差异需求四类，并以满意度和关注度为指标对5G手机产品属性的重要程度和需改进程度进行了排序。更多还原

【Abstract】 Based on Kano model and online review data mining, this paper proposes a method to identify product demand types. Product attributes are extracted from online reviews and sentiment analysis is carried out. Then a classification model for identifying different attribute demands is proposed. Taking the online review data of four 5 G mobile phones as an example, this paper analyzes consumers’ attribute demands of 5 G mobile phone products, which are divided into four types: one-dimension demand, must-be demand, attractive demand and indifferent demand. The importance degree and the to-be-improved degree of the attributes of 5 G mobile phones are ranked by satisfaction degree and attention degree.更多还原