Source
COLING SMM
DATE OF PUBLICATION
10/03/2022
Authors
Vadim Porvatov
Natalia Semenova
Share
5q032e@SMM4H’22: Transformer-based classification of premise in tweets related to COVID-19
Abstract
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.
Similar publications
You can ask us a question or suggest a joint project in the field of AI
partner@airi.net
For scientific cooperation and
partnership
partnership
pr@airi.net
For journalists and media