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

Research Letter (45) Natural Language Processing (767) Advanced Data Analytics in eHealth (156) Artificial Intelligence (1626)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46484, first published .
Automatically Identifying Self-Reports of COVID-19 Diagnosis on Twitter: An Annotated Data Set, Deep Neural Network Classifiers, and a Large-Scale Cohort

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

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

Authors of this article:

Ari Z Klein1 Author Orcid Image ;   Shriya Kunatharaju2 Author Orcid Image ;   Karen O'Connor1 Author Orcid Image ;   Graciela Gonzalez-Hernandez3 Author Orcid Image
Article Authors Cited by (5) Tweetations (4) Metrics
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New in JMIR: Automatically Identifying Self-Reports of #COVID19 #coronavirus Diagnosis on #Twitter: An Annotated Da… https://t.co/RC8VPQJgWL

3:30 PM · Jul 03, 2023

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Journal of Medical Internet Research Journal of Medical Internet Research @JMIR_

RT @jmirpub: New in JMIR: Automatically Identifying Self-Reports of #COVID19 #coronavirus Diagnosis on #Twitter: An Annotated Data Set, Dee…

3:31 PM · Jul 03, 2023

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Graciela Gonzalez Graciela Gonzalez @Graciel39952077

Our latest paper funded on our @NLM_NIH R01: an annotated data set and classifiers for automatically identifying us… https://t.co/0MCcxcQqSe

8:19 PM · Jul 03, 2023

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Tom Bellis Tom Bellis @tommybellis

Automatically Identifying Self-Reports of COVID-19 Diagnosis on Twitter: An Annotated Data Set, Deep Neural Network… https://t.co/UQ9N113rJS

8:26 PM · Jul 04, 2023

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