This paper is in the following e-collection/theme issue:

Theme Issue 2022: Health Natural Language Processing and Applications (CHIP) (27) JMIR Theme Issue: COVID-19 Special Issue (2461) Theme Issue: Medical Informatics and COVID-19 (107) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Infodemiology and Infoveillance (1369)

Published on in Vol 10, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37829, first published .
Synergy Between Public and Private Health Care Organizations During COVID-19 on Twitter: Sentiment and Engagement Analysis Using Forecasting Models

Synergy Between Public and Private Health Care Organizations During COVID-19 on Twitter: Sentiment and Engagement Analysis Using Forecasting Models

Synergy Between Public and Private Health Care Organizations During COVID-19 on Twitter: Sentiment and Engagement Analysis Using Forecasting Models

Authors of this article:

Aditya Singhal1 Author Orcid Image ;   Manmeet Kaur Baxi1 Author Orcid Image ;   Vijay Mago1 Author Orcid Image
Article Authors Cited by (8) Tweetations (5) Metrics

Aditya Singhal   1 * , MSc ;   Manmeet Kaur Baxi   1 * , MSc ;   Vijay Mago   1 , PhD

1 Department of Computer Science, Lakehead University, Thunder Bay, ON, Canada

*these authors contributed equally

Corresponding Author: