Automatically Identifying Self-Reports of COVID-19 Diagnosis on Twitter: An Annotated Data Set, Deep Neural Network Classifiers, and a Large-Scale Cohort-Reference-Cited by-同舟云学术

Automatically Identifying Self-Reports of COVID-19 Diagnosis on Twitter: An Annotated Data Set, Deep Neural Network Classifiers, and a Large-Scale Cohort

Published:2023-07-03 Issue: Volume:25 Page:e46484
ISSN:1438-8871
Container-title:Journal of Medical Internet Research
language:en
Short-container-title:J Med Internet Res

Author:

Klein Ari Z^ORCID,Kunatharaju Shriya^ORCID,O'Connor Karen^ORCID,Gonzalez-Hernandez Graciela^ORCID

Abstract

Publisher

JMIR Publications Inc.

Subject

Health Informatics

Reference10 articles.

1. Insights from Twitter about novel COVID-19 symptoms

2. Characterization of long-term patient-reported symptoms of COVID-19: an analysis of social media data

3. Discovering Long COVID Symptom Patterns: Association Rule Mining and Sentiment Analysis in Social Media Tweets

4. Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource

5. Exploring experiences of COVID‐19‐positive individuals from social media posts

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