A Chronological and Geographical Analysis of Personal Reports of COVID-19 on Twitter.
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ABSTRACT:
SUBMITTER: Klein A
PROVIDER: S-EPMC7276035 | biostudies-literature | 2020 Apr
REPOSITORIES: biostudies-literature
Publications
A Chronological and Geographical Analysis of Personal Reports of COVID-19 on Twitter.
Klein Ari Z AZ Magge Arjun A O'Connor Karen M S KMS Cai Haitao H Weissenbacher Davy D Gonzalez-Hernandez Graciela G
medRxiv : the preprint server for health sciences 20200422
The rapidly evolving outbreak of COVID-19 presents challenges for actively monitoring its spread. In this study, we assessed a social media mining approach for automatically analyzing the chronological and geographical distribution of users in the United States reporting personal information related to COVID-19 on Twitter. The results suggest that our natural language processing and machine learning framework could help provide an early indication of the spread of COVID-19. ...[more]
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