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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:30/0  |  Submit date:2018/10/10
Electronic Nicotine Delivery Systems  E-cigarette  E-liquid  Juicedb  Sentiment Opinion Summarization  Social Media  Vaping  Infodemiology  
A Novel Embedding Method for News Diffusion Prediction 会议论文
, New Orleans, Louisiana, USA, 2018-2
Authors:  Liu,Ruoran;  Li,Qiudan;  Wang,Can;  Wang,Lei;  Zeng,Daniel Dajun
View  |  Adobe PDF(456Kb)  |  Favorite  |  View/Download:2/0  |  Submit date:2019/04/29
Mining phase evolution for hot topics: A case study from multiple social media platforms 会议论文
, Canada, October 5-8, 2017
Authors:  Ruoran Liu;  Qiudan Li;  Can Wang;  Lei Wang;  Daniel Dajun Zeng;  Hongyuan Ma
Favorite  |  View/Download:85/14  |  Submit date:2018/01/04
Phase Evolution  K-means  Burst Detection  Textrank  Social Media  
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:62/0  |  Submit date:2017/05/05
Electronic Cigarettes  Topic Modeling  Latent Dirichlet Allocation  Social Media  Infodemiology  
Mining Phase Evolution for Hot Topics: A Case Study from Multiple Social Media Platforms 会议论文
, Banff, Canada, 2017-10
Authors:  Liu,Ruoran;  Li,Qiudan;  Wang,Can;  Wang,Lei;  Ma,Hongyuan
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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:212/106  |  Submit date:2016/10/23
User Interaction Network  Multi-interest Prediction  Weight Information  
Jointly Modeling Review Content and Aspect Ratings for Review Rating Prediction 会议论文
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR 2016, Pisa, Italy, July 17-21, 2016. ACM 2016, ISBN 978-1-4503-4069-4, Pisa, Italy, July 17-21, 2016
Authors:  Zhipeng Jin;  Qiudan Li;  Daniel D. Zeng;  YongCheng Zhan;  Ruoran Liu;  Lei Wang;  Hongyuan Ma
View  |  Adobe PDF(1256Kb)  |  Favorite  |  View/Download:178/76  |  Submit date:2016/10/23
Review Rating Prediction  Aspect Rating  Data Missing