EDNet: Attention-Based Multimodal Representation for Classification of Twitter Users Related to Eating Disorders.
Mohammad Abuhassan|Tarique Anwar|Chengfei Liu|Hannah K. Jarman|Matthew Fuller-Tyszkiewicz
| Anthology ID: | DBLP:conf/www/AbuhassanALJF23 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 |
| Year: | 2023 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 4065-4074 |
| URL: | https://doi.org/10.1145/3543507.3583863 |
| DOI: | https://doi.org/10.1145/3543507.3583863 |
| DBLP: | conf/www/AbuhassanALJF23 |
| BibTeX: |
@inproceedings{abuhassan-2023-ednet,
author = {Mohammad Abuhassan and
Tarique Anwar and
Chengfei Liu and
Hannah K. Jarman and
Matthew Fuller-Tyszkiewicz},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{EDNet: Attention-Based Multimodal Representation for Classification of Twitter Users Related to Eating Disorders}},
booktitle = {{Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {4065--4074},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543507.3583863},
doi = {https://doi.org/10.1145/3543507.3583863}
}