Mr Dimosthenis Antypas
Research Assistant
Cyhoeddiad
2023
- Owen, D., Antypas, D., Hassoulas, A., Pardinas, A., Espinosa-Anke, L. and Camacho Collados, J. 2023. Enabling early health care intervention by detecting depression in users of web-based forums using Language models: longitudinal analysis and evaluation. JMIR AI 2, article number: e41205. (10.2196/41205)
- Antypas, D., Preece, A. and Camacho Collados, J. 2023. Negativity spreads faster: A large-scale multilingual twitter analysis on the role of sentiment in political communication. Online Social Media and Networks 33, article number: 100242. (10.1016/j.osnem.2023.100242)
2022
- Antypas, D., Ushio, A., Camacho-Collados, J., Silva, V., Neves, L. and Barbieri, F. 2022. Twitter Topic Classification. Proceedings of the 29th International Conference on Computational Linguistics
2020
- Tuxworth, D., Antypas, D., Espinosa-Anke, L., Camacho-Collados, J., Preece, A. and Rogers, D. 2020. Deriving disinformation insights from geolocalized Twitter callouts. Presented at: Workshop On Deriving Insights From User-Generated Text @KDD2021, 14 -18 August 2021.
Articles
- Owen, D., Antypas, D., Hassoulas, A., Pardinas, A., Espinosa-Anke, L. and Camacho Collados, J. 2023. Enabling early health care intervention by detecting depression in users of web-based forums using Language models: longitudinal analysis and evaluation. JMIR AI 2, article number: e41205. (10.2196/41205)
- Antypas, D., Preece, A. and Camacho Collados, J. 2023. Negativity spreads faster: A large-scale multilingual twitter analysis on the role of sentiment in political communication. Online Social Media and Networks 33, article number: 100242. (10.1016/j.osnem.2023.100242)
- Antypas, D., Ushio, A., Camacho-Collados, J., Silva, V., Neves, L. and Barbieri, F. 2022. Twitter Topic Classification. Proceedings of the 29th International Conference on Computational Linguistics
Conferences
- Tuxworth, D., Antypas, D., Espinosa-Anke, L., Camacho-Collados, J., Preece, A. and Rogers, D. 2020. Deriving disinformation insights from geolocalized Twitter callouts. Presented at: Workshop On Deriving Insights From User-Generated Text @KDD2021, 14 -18 August 2021.