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UNDERSTANDING MEDICATION NONADHERENCE FROM SOCIAL MEDIA: A SENTIMENT-ENRICHED DEEP LEARNING APPROACH br 期刊论文
MIS QUARTERLY, 2022, 卷号: 46, 期号: 1, 页码: 341-372
作者:  Xie, Jiaheng;  Liu, Xiao;  Zeng, Daniel Dajun;  Fang, Xiao
收藏  |  浏览/下载：151/0  |  提交时间：2022/06/10
Sentiment-enriched deep learning  reason mining  social media analytics  health risk analytics  medication nonadherence  
Detecting Product Adoption Intentions via Multiview Deep Learning 期刊论文
INFORMS JOURNAL ON COMPUTING, 2021, 页码: 17
作者:  Zhang, Zhu;  Wei, Xuan;  Zheng, Xiaolong;  Li, Qiudan;  Zeng, Daniel Dajun
收藏  |  浏览/下载：189/0  |  提交时间：2021/12/28
web mining  business intelligence  intention detection  deep learning  social media analytics  
Unveiling the Hidden Truth of Drug Addiction: A Social Media Approach Using Similarity Network-Based Deep Learning 期刊论文
JOURNAL OF MANAGEMENT INFORMATION SYSTEMS, 2021, 卷号: 38, 期号: 1, 页码: 166-195
作者:  Xie, Jiaheng;  Zhang, Zhu;  Liu, Xiao;  Zeng, Daniel
收藏  |  浏览/下载：138/0  |  提交时间：2021/05/10
Computational design science  deep learning  social media analytics  health IT  HealthTech  opioid addiction  addiction treatment  
A computational framework for social-media-based business analytics and knowledge creation: empirical studies of CyTraSS 期刊论文
ENTERPRISE INFORMATION SYSTEMS, 2020, 页码: 23
作者:  Chung, Wingyan;  Mustaine, Elizabeth;  Zeng, Daniel
收藏  |  浏览/下载：120/0  |  提交时间：2021/01/06
Business analytics  Business intelligence  Emotion analysis  knowledge management  social media analytics  social network analysis  
Dissecting emotion and user influence in social media communities: An interaction modeling approach 期刊论文
INFORMATION & MANAGEMENT, 2020, 卷号: 57, 期号: 1, 页码: 16
作者:  Chung, Wingyan;  Zeng, Daniel
收藏  |  浏览/下载：202/0  |  提交时间：2020/04/07
Emotion  Network analysis  Sentiment analysis  Social media analytics  Emotion extraction  Influence modeling  Causal modeling  Social computing  Border security  
Exploring Trends and Patterns of Popularity Stage Evolution in Social Media 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018, 卷号: 50, 期号: 0, 页码: 1-11
作者:  Qingchao Kong;  Wenji Mao;  Guandan Chen;  Daniel Zeng
Adobe PDF(1589Kb)  |  收藏  |  浏览/下载：422/171  |  提交时间：2018/10/10
Online Contents  Popularity Evolution  Popularity Stage Prediction (Psp)  Social Media Analytics  
Personality-based refinement for sentiment classification in microblog 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2017, 卷号: 132, 期号: 132, 页码: 204-214
作者:  Lin, Junjie;  Mao, Wenji;  Zeng, Daniel D.
浏览  |  Adobe PDF(965Kb)  |  收藏  |  浏览/下载：523/231  |  提交时间：2018/01/04
Sentiment Classification  Social Media Analytics  Personality Prediction  Big Five Model  
eMood: Modeling Emotion for Social Media Analytics on Ebola Disease Outbreak 会议论文
the 2015 International Conference on Information Systems (ICIS 2015), Fort Worth, Texas, USA, 2015-12-13 ~ 2015-12-16
作者:  Chung, Wingyan;  He, Saike;  Zeng, Daniel
浏览  |  Adobe PDF(867Kb)  |  收藏  |  浏览/下载：270/65  |  提交时间：2016/04/03
Social Media Analytics  Sentiment Analysis  Social Network Analysis  Emotion Extraction  Influence Measure  Social Intelligence  Public Health Informatics  Ebola Disease Outbreak  
Emotion Extraction and Entrainment in Social Media: The Case of U.S. Immigration and Border Security 会议论文
2015 IEEE International Conference on Intelligence and Security Informatics (ISI), Baltimore, MD, USA, 2015-5-27 ~ 2015-5-29
作者:  Chung, Wingyan;  He, Saike;  Zeng, Daniel;  Benjamin, Victor
浏览  |  Adobe PDF(3646Kb)  |  收藏  |  浏览/下载：267/33  |  提交时间：2016/04/03
Emotion  Social Media Analytics  Text Mining  Social Network Analysis  Entrainment  Influence  U.s. Immigration Policy  Border Security  
Predicting Popularity of Forum Threads for Public Events Security 会议论文
Proceedings of IEEE Joint Intelligence and Security Informatics Conference (IEEE ISI 2014), the Hague, the Netherlands, 2014-9-24
作者:  Kong, Qingchao;  Mao, Wenji;  Zeng, Daniel;  Wang, Lei;  Wenji Mao
浏览  |  Adobe PDF(355Kb)  |  收藏  |  浏览/下载：301/103  |  提交时间：2016/06/20
Popularity Of Online Content  Modeling And Prediction Of Popularity Evolution  Social Media Analytics