Large-scale, Language-agnostic Discourse Classification of Tweets During COVID-19

Oguzhan Gencoglu

doi:10.3390/make2040032

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arXiv · 2008.00461

Large-scale, Language-agnostic Discourse Classification of Tweets During COVID-19

Oguzhan Gencoglu

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Abstract

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 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.

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Oguzhan Gencoglu. 2020-10-31. Large-scale, Language-agnostic Discourse Classification of Tweets During COVID-19. https://doi.org/10.3390/make2040032

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