公众文本之情感词典研究进展

被引:7
作者
饶洋辉 [1 ]
李青 [1 ,2 ]
刘文印 [2 ]
李晶晶 [1 ]
机构
[1] 香港城市大学计算机科学系
[2] 香港城市大学多媒体软件工程研究中心
关键词
社交媒体; 情感词典; 情感分析; 公众情感检测; 大数据; 主题模型;
D O I
暂无
中图分类号
TP391.1 [文字信息处理];
学科分类号
081203 ; 0835 ;
摘要
针对海量的社交媒体数据进行情感分析,能够实时检测与跟踪公众对社会事件、政治活动、公司战略、重大决策等方面的观点,同时了解用户在其评论、博客、微博等文本中的情感倾向.本文首先论述了从作者角度出发、针对文本中的主观词等构建的文本情感词典研究现状,包括基于辞典的和基于语料库的生成方法及其典型应用.然后阐述了从读者角度出发、通过读者对文档的情感反馈而构建的公众情感词典研究进展,包括其数据来源,以及词层和主题层的公众情感词典生成方法和模型.
引用
收藏
页码:825 / 835
页数:11
相关论文
共 52 条
[1]  
Sentiment strength detection in short informal text[J] . MikeThelwall,KevanBuckley,GeorgiosPaltoglou,DiCai,ArvidKappas. &nbspJ. Am. Soc. Inf. Sci. . 2010 (12)
[2]   Building emotional dictionary for sentiment analysis of online news [J].
Rao, Yanghui ;
Lei, Jingsheng ;
Liu Wenyin ;
Li, Qing ;
Chen, Mingliang .
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2014, 17 (04) :723-742
[3]  
Towards building a social emotion detection system for online news[J] . Jingsheng Lei,Yanghui Rao,Qing Li,Xiaojun Quan,Liu Wenyin. &nbspFuture Generation Computer Systems . 2013
[4]  
Annotating Expressions of Opinions and Emotions in Language[J] . Janyce Wiebe,Theresa Wilson,Claire Cardie. &nbspLanguage Resources and Evaluation . 2006 (2)
[5]  
The General Inquirer:A Computer Approach to Content Analysis. Philip J S,Dunphry D C,Smith M S,et al. . 1966
[6]  
Automatic Generation of Lexical Resources for Opinion Mining:Models,Algorithms,and Applications. Esuli A. . 2008
[7]  
Senti Word Net 3.0:an enhanced lexical resource for sentiment analysis and opinion mining. Baccianella S,Esuli A,Sebastiani F. Proceedings of the 7th Conference on Language Resources and Evaluation . 2010
[8]  
A bootstrapping method for building subjectivity lexicons for languages with scarce resources. Banea C,Mihalcea R,Wiebe J. Proceedings of the 6th International Conference on Language Resources and Evaluation . 2008
[9]  
Fine-Grained Subjectivity Analysis. Wilson T. . 2008
[10]  
Linguistic Inquiry and Word Count (LIWC):LIWC2001. Pennebaker J W,Francis M E,Booth R J. . 2001