Monitoring User Opinions and Side Effects on COVID-19 Vaccines in the Twittersphere: Infodemiology Study of Tweets.

Beatrice Portelli Simone Scaboro Roberto Tonino Emmanuele Chersoni Enrico Santus Giuseppe Serra

Published in: Journal of medical Internet research (2022)

We present a tool connected with a web portal to monitor and display some key aspects of the public's reaction to COVID-19 vaccines. The system also provides an overview of the opinions of the Twittersphere through graphic representations, offering a tool for the extraction of suspected adverse events from tweets with a deep learning model.

Keyphrases

coronavirus disease
sars cov
deep learning
healthcare
working memory
mental health
machine learning
respiratory syndrome coronavirus
artificial intelligence
emergency department
electronic health record