计算机科学 ›› 2010, Vol. 37 ›› Issue (6): 261-264.

• 人工智能 • 上一篇    下一篇

基于语义理解的文本情感分类方法研究

闻彬,何婷婷,罗乐,宋乐,王倩   

  1. (华中师范大学计算机科学与技术系 武汉430079);(国家语言资源监测与研究中心网络媒体分中心武汉430079);(咸宁学院计算机学院 咸宁437100)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本受国家自然科学基金(60773167),国家十一五科技支撑计划课题(2006BAK71B03),973国家重点基础研究发展计划(2007CB310804),教育部/国家外国专家局高等学校学科创新引智计划(B07042)资助。

Text Sentiment Classification Research Based on Semantic Comprehension

WEN Bin,HE Ting-tingL,LUO Le,SONG Le,WANG Qian   

  • Online:2018-12-01 Published:2018-12-01

摘要: 文本情感分类方法在信息过滤、信息安全、信息推荐中都有广泛的应用。提出一种基于语义理解的文本情感分类方法,在情感词识别中引入了情感义原,通过赋予概念情感语义,重新定义概念的情感相似度,得到词语情感语义值。分析语义层副词的出现规律及其对文本倾向性判定的影响,实现了基于语义理解的文本情感分类。实验表明,该方法能有效地判定文本情感倾向性。

关键词: 文本情感分类,情感倾向性,语义理解

Abstract: Text sentiment classification is used widely, such as information filtering, information security and information recommendation. This paper proposed an improved method based on semantic comprehension. In this paper, sentiment primitive was introduced into sentiment terms identification, and then semantic values of phrases were obtained.Furthermore, this paper further analysed adverbs and its influence on identification of text orientation in the semantic level and achieved the text sentiment classification. I}he experimental results show that the proposed approach is suitable for judging sentiment orientation.

Key words: Text sentiment classification, Sentiment orientation, Semantic comprehension

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