Corpus ID: 219303548

Extracting COVID-19 Events from Twitter

@article{Zong2020ExtractingCE,
  title={Extracting COVID-19 Events from Twitter},
  author={Shi Zong and Ashutosh Baheti and Wei Xu and Alan Ritter},
  journal={ArXiv},
  year={2020},
  volume={abs/2006.02567}
}
  • Shi Zong, Ashutosh Baheti, +1 author Alan Ritter
  • Published 2020
  • Computer Science
  • ArXiv
  • We present a corpus of 7,500 tweets annotated with COVID-19 events, including positive test results, denied access to testing, and more. We show that our corpus enables automatic identification of COVID-19 events mentioned in Twitter with text spans that fill a set of pre-defined slots for each event. We also present analyses on the self-reporting cases and user's demographic information. We will make our annotated corpus and extraction tools available for the research community to use upon… CONTINUE READING

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