Prediction of Population Health Indices from Social Media using Kernel-based Textual and Temporal Features.
Thin Nguyen|Duc Thanh Nguyen|Mark E. Larsen|Bridianne O'Dea|John Yearwood|Dinh Q. Phung|Svetha Venkatesh|Helen Christensen
| Anthology ID: | DBLP:conf/www/NguyenNLOYPVC17 |
|---|---|
| Volume: | Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017 |
| Year: | 2017 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 99-107 |
| URL: | https://doi.org/10.1145/3041021.3054136 |
| DOI: | https://doi.org/10.1145/3041021.3054136 |
| DBLP: | conf/www/NguyenNLOYPVC17 |
| BibTeX: |
@inproceedings{nguyen-2017-prediction,
author = {Thin Nguyen and
Duc Thanh Nguyen and
Mark E. Larsen and
Bridianne O'Dea and
John Yearwood and
Dinh Q. Phung and
Svetha Venkatesh and
Helen Christensen},
editor = {Rick Barrett and
Rick Cummings and
Eugene Agichtein and
Evgeniy Gabrilovich},
title = {{Prediction of Population Health Indices from Social Media using Kernel-based Textual and Temporal Features}},
booktitle = {{Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017}},
pages = {99--107},
publisher = {ACM},
year = {2017},
url = {https://doi.org/10.1145/3041021.3054136},
doi = {https://doi.org/10.1145/3041021.3054136}
}