Corpus ID: 236447922

A Biomedically oriented automatically annotated Twitter COVID-19 Dataset

@article{Hernandez2021ABO,
  title={A Biomedically oriented automatically annotated Twitter COVID-19 Dataset},
  author={Luis Alberto Robles Hernandez and Tiffany J. Callahan and J. Banda},
  journal={ArXiv},
  year={2021}
}
The use of social media data, like Twitter, for biomedical research has been gradually increasing over the years. With the COVID-19 pandemic, researchers have turned to more non-traditional sources of clinical data to characterize the disease in near-real time, study the societal implications of interventions, as well as the sequelae that recovered COVID-19 cases present (Long-). However, manually curated social media datasets are difficult to come by due to the expensive costs of manual… Expand

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