期刊文献+

基于序贯三支决策的多粒度情感分类方法 预览

Multi-granularity Sentiment Classification Method Based on Sequential Three-way Decisions
在线阅读 免费下载
分享 导出
摘要 如何对评论数据进行正确的情感分类是情感分析中的重要研究内容。从粒计算和认知学角度,提出了一种基于序贯三支决策的多粒度中文评论情感分类方法。首先,基于评论数据集的特点,根据评论中情感信息量的多少,提出一种由粗到细的多粒度情感信息表示方法;然后,结合序贯三支决策的思想在不同粒度依据情感信息进行逐步计算,对边界域评论序贯地进行三支决策;最后,根据不同粒度的决策阈值和成本对评论做出最终的情感分类。对比实验结果表明,该方法在3个经典评论数据集上获得了更好的结果,具有更高的分类正确率和更强的鲁棒性。 How to classify the review data correctly is important research content in sentiment analysis.From the perspective of granular computing and cognitive science,this paper proposed a multi-granularity sentiment classification method for Chinese reviews based on sequential three-way decisions.Firstly,based on the characteristics of review data,a coarse-to-fine multi-granularity sentiment information representation method is put forward according to the amounts of sentiment information existing in the review.Then,by combining the principle of sequential three-way decisions,the calculation is gradually executed in different sentiment information granularity and the sequenced three-way decision is carried out for the boundary reviews.Lastly,according to the decision thresholds and costs in different granularities,the final sentiment classification is provided for the review data.The experimental results show that the proposed method achieves better performance,and performes higher classification accuracy and stronger robustness on three classic datasets.
作者 张刚强 刘群 纪良浩 ZHANG Gang-qiang;LIU Qun;JI Liang-hao(Chongqing Key Laboratory of Computational Intelligence,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)
出处 《计算机科学》 CSCD 北大核心 2018年第12期153-159,共7页 Computer Science
基金 国家自然科学基金(61572091) 重庆市产业类重点主题专项(cstc2017zdcy-zdyfx0091) 重庆市人工智能技术创新重大主题专项重点研发项目(cstc2017rgzn-zdyfx0022)资助.
关键词 情感分类 序贯三支决策 多粒度 认知 Sentiment classification Sequential three-way decisions Multi-granularity Cognitive
作者简介 张刚强(1993-),男,硕士生,主要研究方向为智能信息处理、情感分析,E-mail:tszgq2015@163.com;刘群(1969-),女,博士,教授,主要研究方向为智能信息处理、复杂网络、数据挖掘,E-mail:liuqun@cqupt.edu.cn(通信作者);纪良浩(1977-),男,博士,教授,主要研究方向为复杂网络、智能信息处理。
  • 相关文献

参考文献4

二级参考文献119

  • 1徐琳宏,林鸿飞,杨志豪.基于语义理解的文本倾向性识别机制[J].中文信息学报,2007,21(1):96-100. 被引量:104
  • 2赵文清,朱永利,高伟.一个基于决策粗糙集理论的信息过滤模型[J].计算机工程与应用,2007,43(7):185-187. 被引量:14
  • 3[1]ZADEH L A.Fuzzy sets and information granulation.advances in fuzzy set theory and applications[M].Amsterdam:North-Holland Publishing,1979. 被引量:1
  • 4[2]HOBBS J R.Granularity[A].Proceedings of the Ninth International Joint Conference on Artificial Intelligence[C].Los Angeles,CA,1985. 被引量:1
  • 5[3]LIN T Y.Neighborhood systems and relational database[A].Proceedings of CSC'88[C].New York,1988. 被引量:1
  • 6[4]LIN T Y.Granular computing on binary relations I:data mining and neighborhood systems,Ⅱ:rough set representations and belief functions,rough sets in knowledge discovery[M].Physica-Verlag,1998:107-140. 被引量:1
  • 7[5]LIN T Y.Data mining:granular computing approach methodologies for knowledge discovery and data mining[A].Proceedings of PAKDD' 99[C].[S.l.],1999. 被引量:1
  • 8[6]LIN T Y.Granular computing:fuzzy logic and rough sets.Computing with Words in Information/Intelligent Systems[M].Physica-Verlag,1999. 被引量:1
  • 9[7]LIN T Y.Data mining and machine oriented modeling:a granular computing approach[J].Journal of Applied Intelligence,2000,13(2):113-124. 被引量:1
  • 10[8]LIN T Y.Granular computing:structures,representations,applications and future directions[A].The Proceedings of 9th International Conference,RSFDGrC 2003[C].[S.l.],2003. 被引量:1

共引文献125

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部 意见反馈