基于主题与三支决策的文本情感分析  

Emotion Analysis of Text Based on Topics and Three-way Decisions

作　　者：王磊[1,2] 黄河笑[1,2] 吴兵[1,2] 郑任儿[1,2] 

机构地区：[1]上海开放大学信息与工程学院,上海200433 [2]上海开放大学上海开放远程教育工程技术研究中心,上海200433

出　　处：《计算机科学》2015年第6期93-96,共4页Computer Science

基　　金：上海市科学技术委员会科研计划项目课题"上海开放远程教育工程技术研究中心"(13DZ2252200);国家开放大学2012年科研课题(Q1301F-Y)资助

摘　　要：近年来,情感计算已经成为自然语言处理与人工智能领域的一个研究热点,而文本情感分析是情感计算的一个重要组成部分。提出了一个基于主题特征与三支决策理论相融合的多标记情感分类方法。首先采用基于主题的情感识别模型判断句子的多标记情感类别,在此基础上结合三支决策理论,最终实现对文本篇章的多标记情感分类。实验结果表明,该方法在文本篇章的多标记情感类别识别上取得了令人满意的结果。Affective computing has received much attention and has been a hot research in the field of natural language processing and artificial intelligence in recent years. Emotion analysis of text is one of important parts in affective com- puting. A novel method was proposed to analyze the multi-label emotion classification of the text based on topics fea- tures and three-way decisions. The multi-label emotions of sentence are judged by using the topic emotion model, and then the multi-label emotions of text are recognized, combining the theory of three-way decision. Experiment results show that the method is reasonable and effective in recognizing the classifications of text emotion.

关 键 词：三支决策 主题特征 多标签分类 情感计算 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]