eMood: Modeling Emotion for Social Media Analytics on Ebola Disease Outbreak
Chung, Wingyan1; He, Saike2; Zeng, Daniel2,3
2015-12-13
会议名称the 2015 International Conference on Information Systems (ICIS 2015)
会议录名称the 2015 International Conference on Information Systems (ICIS 2015)
会议日期2015-12-13 ~ 2015-12-16
会议地点Fort Worth, Texas, USA
摘要Social media enable users to express their emotion promptly, helping health policy makers to gauge public sentiment of disease outbreak. In this research, we developed an approach to social-media-based public health informatics and built a proof-of-concept system named eMood that helps to collect, analyze, and visualize Ebola outbreak discussions on Twitter. Our approach uses a comprehensive lexicon to identify emotion categories and present analysis findings of users’ network relationship and influence patterns. We compared two methods of identifying user influence, user centrality and emotion entrainment, by using 255,118 tweets posted by 210,900 users in January 2015. Experimental results show that both methods identified highly influential users. Regression analysis of user influence rank and emotion scores demonstrates significant relationship between user influence and each emotion category. These results should provide strong implication for understanding social actions and for collecting social intelligence for public health informatics.
关键词Social Media Analytics Sentiment Analysis Social Network Analysis Emotion Extraction Influence Measure Social Intelligence Public Health Informatics Ebola Disease Outbreak
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收录类别EI
语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/10776
专题复杂系统管理与控制国家重点实验室_互联网大数据与信息安全
通讯作者Chung, Wingyan
作者单位1.Institute for Simulation and Training University of Central Florida
2.State Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences
3.Eller College of Management The University of Arizona
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Chung, Wingyan,He, Saike,Zeng, Daniel. eMood: Modeling Emotion for Social Media Analytics on Ebola Disease Outbreak[C],2015.
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