research product . 2020

Large-Scale, Language-Agnostic Discourse Classification of Tweets During COVID-19

Open Access English
  • Published: 01 Jan 2020
  • Country: Finland
Quantifying the characteristics of public attention is an essential prerequisite for appropriate crisis management during severe events such as pandemics. For this purpose, we propose language-agnostic tweet representations to perform large-scale Twitter discourse classification with machine learning. Our analysis on more than 26 million coronavirus disease 2019 (COVID-19) tweets shows that large-scale surveillance of public discourse is feasible with computationally lightweight classifiers by out-of-the-box utilization of these representations. publishersversion Peer reviewed
free text keywords: Text Classification, COVID-19, Natural Language Processing, Deep Learning, Twitter, Health Informatics, Sentence Embeddings, No [International co-publication], No [Co-publication with a company], Yes [International publisher], Open access publication, Yes [Self-archived publication], Publication forum level 1, 113 Computer and information sciences, 2020
Related Organizations
Digital Humanities and Cultural Heritage
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