计算机科学 ›› 2009, Vol. 36 ›› Issue (7): 15-19.doi: 10.11896/j.issn.1002-137X.2009.07.003

• 综述 • 上一篇    下一篇

网络意见挖掘、摘要与检索研究综述

侯锋,王传廷,李国辉   

  1. (国防科技大学信息系统与管理学院 长沙410073);(武汉理工大学理学院 武汉430070)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家自然科学基金项目(60273066) , 国防科技大学校预研项目(JC06-05-01)资助。

Survey on the Opinion Mining, Summarization and Retrieval

HOU Feng,WANG Chuan-ting,LI Guo-hui   

  • Online:2018-11-16 Published:2018-11-16

摘要: 网络上带有人的主观感情色彩的评论性文本反映了人们的意见、态度和立场,因而具有很大的利用价值。信息挖掘技术针对这些主观文本进行处理,获得有用的意见、结论和知识。首先介绍了意见挖掘出现的背景和应用意义,然后从词汇情感极性识别、粗粒度的情感分类、细粒度的意见挖掘与摘要、意见检索和相关语言资源与系统5个方面综述了研究历程和现状,最后总结了研究难点与研究趋势。

关键词: 晴感极性,情感分类,意见挖掘,意见检索

Abstract: The review texts with subjective sentiments on the Web are valuable for many applications, since they expressed the opinions, attitudes and standpoints of users. The opinion mining technictue process these subjective texts specially to generate useful opinion summarization and knowlcdgcs automatically. The background and application of opinion mining was introduced firstly and then the sate of the art of opinion mining was presented in five subtasks: sentiment polarity identification of words, coarse sentiment classification, fine grade opinion mining and summarization, opinion retrieval and language resources and application systems; The difficulty and trend of opinion mining was concluded finally.

Key words: Sentiment polarity, Sentiment classification, Opinion mining, Opinion retrieval

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