Sentiment Computing for the News Event Based on the Social Media Big Data

doi:10.1109/ACCESS.2016.2607218

	Sentiment Computing for the News Event Based on the Social Media Big Data
	Jiang, Dandan 1; Luo, Xiangfeng 1,2; Xuan, Junyu 3; Xu, Zheng 4
	2017
发表期刊	IEEE ACCESS
ISSN	2169-3536
卷号	5 页码:2373-2382
摘要	The explosive increasing of the social media data on the Web has created and promoted the development of the social media big data mining area welcomed by researchers from both academia and industry. The sentiment computing of news event is a significant component of the social media big data. It has also attracted a lot of researches, which could support many real-world applications, such as public opinion monitoring for governments and news recommendation for Websites. However, existing sentiment computing methods are mainly based on the standard emotion thesaurus or supervised methods, which are not scalable to the social media big data. Therefore, we propose an innovative method to do the sentiment computing for news events. More specially, based on the social media data (i.e., words and emoticons) of a news event, a word emotion association network (WEAN) is built to jointly express its semantic and emotion, which lays the foundation for the news event sentiment computation. Based on WEAN, a word emotion computation algorithm is proposed to obtain the initial words emotion, which are further refined through the standard emotion thesaurus. With the words emotion in hand, we can compute every sentence's sentiment. Experimental results on real-world data sets demonstrate the excellent performance of the proposed method on the emotion computing for news events.
关键词	Text mining sentiment computing emotion classification social media big data
DOI	10.1109/ACCESS.2016.2607218
收录类别	SCI
语种	英语
资助项目	Shanghai Science International Cooperation Project[16550720400] ; National Science Foundation of China[61471232] ; innovation project of Institute of Computing Technology (ICT), Chinese Academy of Science (CAS)[61471232]
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000397136900144
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：46[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/7444
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Luo, Xiangfeng
作者单位	1.Shanghai Univ, Sch Engn & Comp Sci, Shanghai 200444, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China 3.Univ Technol Sydney, Fac Engn & IT, Sydney, NSW 2007, Australia 4.Minist Publ Secur, Res Inst 3, Shanghai 200031, Peoples R China
推荐引用方式 GB/T 7714	Jiang, Dandan,Luo, Xiangfeng,Xuan, Junyu,et al. Sentiment Computing for the News Event Based on the Social Media Big Data[J]. IEEE ACCESS,2017,5:2373-2382.
APA	Jiang, Dandan,Luo, Xiangfeng,Xuan, Junyu,&Xu, Zheng.(2017).Sentiment Computing for the News Event Based on the Social Media Big Data.IEEE ACCESS,5,2373-2382.
MLA	Jiang, Dandan,et al."Sentiment Computing for the News Event Based on the Social Media Big Data".IEEE ACCESS 5(2017):2373-2382.