计算机科学 ›› 2014, Vol. 41 ›› Issue (10): 225-231.doi: 10.11896/j.issn.1002-137X.2014.10.048

• 人工智能 • 上一篇    下一篇

基于语义文法的网络舆情精准分析方法研究

侯圣峦,刘磊,曹存根   

  1. 北京工业大学应用数理学院 北京100124;中国科学院计算技术研究所智能信息处理重点实验室 北京100190;北京工业大学应用数理学院 北京100124;中国科学院计算技术研究所智能信息处理重点实验室 北京100190
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家自然科学基金(91224006,0,61203284),科技部行业专项(201303107),北京市自然科学基金(4133085)资助

Research on Accurate Analysis of Internet Public Opinion:A Semantic Grammar-based Method

HOU Sheng-luan,LIU Lei and CAO Cun-gen   

  • Online:2018-11-14 Published:2018-11-14

摘要: 传统的基于关键词统计分析的网络舆情分析方法由于缺少对舆情文本必要的语义处理,往往导致分析结果不准确。提出一种基于语义文法的网络舆情精准分析新方法。该方法包括两部分:首先是可执行的网络舆情精准分析语言Eipoaal,它可根据实际舆情分析需求设计Eipoaal程序,具有一定的通用性;二是网络舆情精准分析系统Ipoaas,它为Eipoaal提供运行平台。目前,已经实现了该系统,并应用到贪腐主题的网络舆情分析中,实验结果证明了方法的有效性。

关键词: 网络舆情分析,语义文法,舆情本体,多主体

Abstract: The conventional methods of public opinion analysis based on keywords statistics are inaccurate due to lack of semantic processing which is necessary.A novel semantic grammar-based method for accurate analysis of Internet public opinion was presented.This method has two parts.One is an executable Internet public opinion accurate analysis Language (Eipoaal),which is a general-purpose program language that can be designed according to actual demand;and the other is an Internet public opinion accurate analysis system(Ipoaas),which provides a running platform for Eipoaal.This system has been implemented and tested in the analysis of Internet public opinion about corruption.Experimental results show the validity of the method.

Key words: Internet public opinion analysis,Semantic grammar,Ontology of public opinion,Multi-agent

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