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Modelling Online User Behaviors with Competitive Interactions 期刊论文
Information & Management, 2018, 卷号: 1, 期号: 1, 页码: 1-11
Authors:  Saike He;  Xiaolong Zheng;  Daniel Dajun Zeng
View  |  Adobe PDF(3073Kb)  |  Favorite  |  View/Download:60/6  |  Submit date:2018/10/15
Online Behaviors  Competitive Interactions  Homophily  Homeostasis  Social Media  
Understanding Users' Vaping Experiences from Social Media: Initial Study Using Sentiment Opinion Summarization Techniques 期刊论文
JOURNAL OF MEDICAL INTERNET RESEARCH, 2018, 卷号: 20, 期号: 8
Authors:  Li, Qiudan;  Wang, Can;  Liu, Ruoran;  Wang, Lei;  Zeng, Daniel Dajun;  Leischow, Scott James
Favorite  |  View/Download:34/0  |  Submit date:2018/10/10
Electronic Nicotine Delivery Systems  E-cigarette  E-liquid  Juicedb  Sentiment Opinion Summarization  Social Media  Vaping  Infodemiology  
Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation 期刊论文
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2018, 卷号: 25, 期号: 1, 页码: 72-80
Authors:  Xie, Jiaheng;  Liu, Xiao;  Zeng, Daniel Dajun
Favorite  |  View/Download:21/0  |  Submit date:2018/10/10
E-cigarette Adverse Event  Bi-lstm  Recurrent Neural Network  Word Embedding  Deep Neural Network  
Identifying Topics for E-Cigarette User-Generated Contents: A Case Study From Multiple Social Media Platforms 期刊论文
JOURNAL OF MEDICAL INTERNET RESEARCH, 2017, 卷号: 19, 期号: 1, 页码: 194-209
Authors:  Zhan, Yongcheng;  Liu, Ruoran;  Li, Qiudan;  Leischow, Scott James;  Zeng, Daniel Dajun
Favorite  |  View/Download:65/0  |  Submit date:2017/05/05
Electronic Cigarettes  Topic Modeling  Latent Dirichlet Allocation  Social Media  Infodemiology  
Tracking Dabbing Using Search Query Surveillance: A Case Study in the United States 期刊论文
JOURNAL OF MEDICAL INTERNET RESEARCH, 2016, 卷号: 18, 期号: 9, 页码: 231-240
Authors:  Zhang, Zhu;  Zheng, Xiaolong;  Zeng, Daniel Dajun;  Leischow, Scott J.
View  |  Adobe PDF(3242Kb)  |  Favorite  |  View/Download:84/2  |  Submit date:2016/12/26
Marijuana  Information Seeking Behavior  Surveillance  Search Engine  Time Series Analysis  Spatial Analysis  
An Integrated Approach of Sensing Tobacco-Oriented Activities in Online Participatory Media 期刊论文
IEEE SYSTEMS JOURNAL, 2016, 卷号: 10, 期号: 3, 页码: 1193-1202
Authors:  Liang, Yunji;  Zhou, Xingshe;  Zeng, Daniel Dajun;  Guo, Bin;  Zheng, Xiaolong;  Yu, Zhiwen
View  |  Adobe PDF(1314Kb)  |  Favorite  |  View/Download:63/7  |  Submit date:2016/12/26
Facebook  Internet Of Things (Iot)  Participatory Media  Public Health  Tobacco Control  Tobacco Surveillance  
Analysis of symptoms and their potential associations with e-liquids' components: a social media study 期刊论文
BMC PUBLIC HEALTH, 2016, 卷号: 16, 期号: 674, 页码: 1-12
Authors:  Li, Qiudan;  Zhan, Yongcheng;  Wang, Lei;  Leischow, Scott J.;  Zeng, Daniel Dajun;  Daniel Dajun Zeng
View  |  Adobe PDF(820Kb)  |  Favorite  |  View/Download:86/11  |  Submit date:2016/10/23
E-cigarette  E-juice  E-liquid  Flavors  Vg  Pg  Nicotine  Symptoms  Reddit  Social Media  
Predicting User’s Multi-Interests With Network Embedding in Health-Related Topics 会议论文
IJCNN2016, Vancouver, Canada, 24-29 July 2016
Authors:  Zhipeng Jin;  Ruoran Liu;  Qiudan Li;  Daniel D. Zeng;  YongCheng Zhan;  Lei Wang
View  |  Adobe PDF(288Kb)  |  Favorite  |  View/Download:222/112  |  Submit date:2016/10/23
User Interaction Network  Multi-interest Prediction  Weight Information  
Characterizing Social Interaction in Tobacco-Oriented Social Networks: An Empirical Analysis 期刊论文
SCIENTIFIC REPORTS, 2015, 卷号: 2015, 期号: 5, 页码: 0
Authors:  Liang, Yunji;  Zheng, Xiaolong;  Zeng, Daniel Dajun;  Zhou, Xingshe;  Leischow, Scott James;  Chung, Wingyan
View  |  Adobe PDF(1536Kb)  |  Favorite  |  View/Download:45/0  |  Submit date:2015/09/17
None  
社会媒体中的情感趋同现象建模与分析 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2015
Authors:  何赛克
Adobe PDF(5407Kb)  |  Favorite  |  View/Download:151/1  |  Submit date:2015/09/02
情感趋同  社会媒体  普适性  因子图模型  多模态  结构学习  Emotion Entrainment  Social Media  Model-free  Factor Graph Model  Multi-modality  Structural Learning