中文摘要：

【目的/意义】基于离散情感理论,对电商平台在线评论中所含不同离散情感的分布规律进行探究,发掘其对于营销管理的实践意义。【方法/过程】以手机这一搜索型产品的海量中文评论为研究对象,以情感认知模型OCC模型为情感分类依据,通过深度学习的方法构建离散情感语料库,并在此基础上对不同评论星级、不同的商品购买和评论发布的时间间隔中,评论所包含离散情感的分布特征进行了深入的研究。【结果/结论】研究发现：包含不同离散情感的评论在不同评论星级中的分布情况差别较大,在不同时间间隔中的分布曲线却大致相同,虽都与＂长尾分布＂非常类似,但仍有细微差别。

英文摘要：

[Purpose/significance]Based on Discrete Emotion Theory, this paper makes a thorough inquiry into the distribu- tion of different discrete emotions contained in online reviews of e-business platform, and explores its practical significance to marketing management. [Method/process] By taking the massive Chinese reviews of mobile phone which is a kind of search goods as the research object, and using the OCC model which is a kind of emotional cognition model as the basis of emotion classification, the paper constructs a discrete emotional corpus through the depth learning method, and on this ba- sis, the distribution characteristics of different discrete emotions contained in different star reviews and in different time in- tervals between product purchase time and product release time have been studied and analyzed in detail. [ Result/conclu- sion]The results show that the distributions of reviews containing different discrete emotions are different in different star reviews, and the distribution curves in different time intervals are almost the same, although they are very similar to the ＂long tail distribution＂, there are still nuances.