An improved method of extracting emotional attribute of relations based on syntactical analysis

Jun Wang, Lei Li, F. Ren
{"title":"An improved method of extracting emotional attribute of relations based on syntactical analysis","authors":"Jun Wang, Lei Li, F. Ren","doi":"10.1109/CCIS.2011.6045109","DOIUrl":null,"url":null,"abstract":"Social network plays an important role in this network age. With development of social network, people hope more attribute and more precise description about relation which is the key element of network. This paper proposes an improved method of extracting emotional attribute of relations from Chinese events based on syntactical analysis. In our work, we improved the defect of previous method that can not deal with multiple entities in one sentence. In addition, a large-scale Chinese emotional dictionary not only emotional verbs was used in the extraction of emotional attribute. Experiment showed our method achieved satisfied performance.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCIS.2011.6045109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Social network plays an important role in this network age. With development of social network, people hope more attribute and more precise description about relation which is the key element of network. This paper proposes an improved method of extracting emotional attribute of relations from Chinese events based on syntactical analysis. In our work, we improved the defect of previous method that can not deal with multiple entities in one sentence. In addition, a large-scale Chinese emotional dictionary not only emotional verbs was used in the extraction of emotional attribute. Experiment showed our method achieved satisfied performance.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
一种基于句法分析的关系情感属性提取改进方法
在这个网络时代,社交网络扮演着重要的角色。随着社会网络的发展,人们希望对构成网络的关键要素——关系有更多的属性和更精确的描述。本文提出了一种基于句法分析的汉语事件关系情感属性提取方法。在我们的工作中,我们改进了以前的方法不能在一个句子中处理多个实体的缺陷。此外,情感属性的提取还采用了不局限于情感动词的大型汉语情感词典。实验表明,该方法取得了满意的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A dynamic and integrated load-balancing scheduling algorithm for Cloud datacenters A CPU-GPU hybrid computing framework for real-time clothing animation The communication of CAN bus used in synchronization control of multi-motor based on DSP An improved dynamic provable data possession model Ensuring the data integrity in cloud data storage
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1