Vadim Porvatov

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2022

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Transformer-based classification of premise in tweets related to COVID-19
Vadim Porvatov | Natalia Semenova
Proceedings of the Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task

Automation of social network data assessment is one of the classic challenges of natural language processing. During the COVID-19 pandemic, mining people’s stances from their public messages become crucial regarding the understanding of attitude towards health orders. In this paper, authors propose the transformer-based predictive model allowing to effectively classify presence of stance and premise in the Twitter texts.
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