Real-time Classification, Geolocation and Interactive Visualization of COVID-19 Information Shared on Social Media to Better Understand Global DevelopmentsDownload PDF

Sep 03, 2020 (edited Oct 08, 2020)EMNLP 2020 Workshop NLP-COVID SubmissionReaders: Everyone
  • Keywords: COVID-19, BERT, Twitter, Social Computing, NLP, L2
  • TL;DR: Classifying and geoparsing COVID-19 tweets to map them in real-time.
  • Abstract: As people communicate on social media during COVID-19, it can be an invaluable source of useful and up-to-date information. However, the large volume and noise-to-signal ratio of social media can make this impractical. We present a prototype dashboard for the real-time classification, geolocation and interactive visualization of COVID-19 tweets that addresses these issues. We also describe a novel L2 classification layer that outperforms linear layers on a dataset of respiratory virus tweets.
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