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

文献类型：期刊论文

作者Jiang, Dandan2; Luo, Xiangfeng2,3; Xuan, Junyu1; Xu, Zheng4
刊名IEEE ACCESS
出版日期2017
卷号5页码:2373-2382
关键词Text mining sentiment computing emotion classification social media big data
ISSN号2169-3536
DOI10.1109/ACCESS.2016.2607218
英文摘要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.
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
语种英语
WOS记录号WOS:000397136900144
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/7443]  
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.Univ Technol Sydney, Fac Engn & IT, Sydney, NSW 2007, Australia
2.Shanghai Univ, Sch Engn & Comp Sci, Shanghai 200444, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
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.

入库方式： OAI收割

来源：计算技术研究所

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