Toward Using Twitter for Tracking COVID-19: A Natural Language Processing Pipeline and Exploratory Data Set.

Ari Z Klein Arjun Magge Karen O'Connor Jesus Ivan Flores Amaro Davy Weissenbacher Graciela Gonzalez-Hernandez

Published in: Journal of medical Internet research (2021)

We have made the 13,714 tweets identified in this study, along with each tweet's time stamp and US state-level geolocation, publicly available to download. This data set presents the opportunity for future work to assess the utility of Twitter data as a complementary resource for tracking the spread of COVID-19.

Keyphrases

coronavirus disease
electronic health record
sars cov
social media
big data
machine learning
current status
data analysis