Social Media for Opioid Addiction Epidemiology: Automatic Detection of Opioid Addicts from Twitter and Case Studies.
Yujie Fan|Yiming Zhang|Yanfang Ye|Xin Li|Wanhong Zheng
| Anthology ID: | DBLP:conf/cikm/FanZYLZ17 |
|---|---|
| Volume: | Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017 |
| Year: | 2017 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1259-1267 |
| URL: | https://doi.org/10.1145/3132847.3132857 |
| DOI: | https://doi.org/10.1145/3132847.3132857 |
| DBLP: | conf/cikm/FanZYLZ17 |
| BibTeX: |
@inproceedings{fan-2017-social,
author = {Yujie Fan and
Yiming Zhang and
Yanfang Ye and
Xin Li and
Wanhong Zheng},
editor = {Ee-Peng Lim and
Marianne Winslett and
Mark Sanderson and
Ada Wai-Chee Fu and
Jimeng Sun and
J. Shane Culpepper and
Eric Lo and
Joyce C. Ho and
Debora Donato and
Rakesh Agrawal and
Yu Zheng and
Carlos Castillo and
Aixin Sun and
Vincent S. Tseng and
Chenliang Li},
title = {{Social Media for Opioid Addiction Epidemiology: Automatic Detection of Opioid Addicts from Twitter and Case Studies}},
booktitle = {{Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017}},
pages = {1259--1267},
publisher = {ACM},
year = {2017},
url = {https://doi.org/10.1145/3132847.3132857},
doi = {https://doi.org/10.1145/3132847.3132857}
}