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

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

Published:2023-02-13 Issue: Volume: Page:
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Author:

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

Abstract

UNSTRUCTURED

Publisher

JMIR Publications Inc.

Reference8 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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