[1]刘宝芹,牛耘. 多层次中文微博情绪分析[J].计算机技术与发展,2015,25(11):23-26.
　LIU Bao-qin,NIU Yun. Multi-hierarchy Emotion Analysis of Chinese Microblog[J].,2015,25(11):23-26.
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 多层次中文微博情绪分析()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年11期
页码:
23-26
栏目:
智能、算法、系统工程
出版日期:
2015-11-10

文章信息/Info

Title:
 Multi-hierarchy Emotion Analysis of Chinese Microblog
文章编号:
1673-629X（2015)11-0023-04
作者:
 刘宝芹; 牛耘
 南京航空航天大学 计算机科学与技术学院
Author(s):
 LIU Bao-qin; NIU Yun
关键词:
 ; 微博情绪; 朴素贝叶斯; 平面型分类方法; 层次型分类方法
Keywords:
 ; micro-blog emotion; Na?ve Bayesian; flat classification approach; hierarchical classification approach
分类号:
TP391
文献标志码:
A
摘要:
 文中旨在对中文微博文本中表达的情绪进行自动分析.目前,微博情绪分析的方法主要是平面型分类方法.该方法认为各个情绪类之间相互独立,相互并列,它们处在同一个平面层次上,只需要一次性构建一个分类器就可以完成情绪分类任务.事实上,Ekman六类情绪之间的关系并不完全独立.文中将Ekman六类情绪按照情感极性及情绪间的相互关系组织成三层树状结构,在此基础上提出了一种基于朴素贝叶斯模型的多层次中文微博情绪分析方法.实验结果表明,与传统的平面型朴素贝叶斯分类方法相比,文中提出的多层次微博情绪分析方法降低了各情绪类微博分布不平衡对分类结果造成的影响,提高了微博情绪识别的精度.
Abstract:
 Focus on automatic classifying emotion expressed in Chinese microblog. At present,most of the research on emotion analysis of microblog has focused on flat classification approach. The approach considers emotion categories are independent and coordinate of each other. They are in the same flat level and need only one classifier to achieve the emotion classification task. In fact,the relationship be-tween Ekman’ s six emotion classes is not completely independent. Ekman’ s six emotion classes are arranged into a tree structure accord-ing to the relationship between emotional polarity and mutual relations. Based on this tree structure,an approach of hierarchical emotion a-nalysis of Chinese microblog based on Na?ve Bayesian Model is proposed. Compared with the flat classification,the experimental results show that hierarchical classification method reduces the effect of the highly imbalanced distribution of the emotional categories on the classification results,and improves the accuracy of microblog emotion analysis.

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更新日期/Last Update: 2015-12-18