Deep Neural Networks for Simultaneously Capturing Public Topics and Sentiments During a Pandemic: Application on a COVID-19 Tweet Data Set.

Adrien Boukobza Anita Burgun Bertrand Roudier Rosy Tsopra

Published in: JMIR medical informatics (2022)

We propose a new method based on deep neural networks for simultaneously extracting public topics and sentiments from tweets. This method could be helpful for monitoring public opinion during crises such as pandemics.

Keyphrases

neural network
coronavirus disease
sars cov
healthcare
mental health
electronic health record
adverse drug
emergency department
big data
respiratory syndrome coronavirus
data analysis