Comparison of pretrained transformer-based models for influenza and COVID-19 detection using social media text data in Saskatchewan, Canada

Comparison of pretrained transformer-based models for influenza and COVID-19 detection using social media text data in Saskatchewan, Canada

BackgroundThe use of social media data provides an opportunity to complement traditional influenza and COVID-19 surveillance methods for the detection and control of outbreaks and informing public health interventions.ObjectiveThe first aim of this study is to investigate the degree to which Twitter...

Full description

Bibliographic Details
Main Authors: Yuan Tian, Wenjing Zhang, Lujie Duan, Wade McDonald, Nathaniel Osgood
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Digital Health
Subjects:
influenza
COVID-19
social media
transformer-based language models
digital surveillance
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2023.1203874/full

Internet

https://www.frontiersin.org/articles/10.3389/fdgth.2023.1203874/full

Similar Items