Detection of COVID-19 informative tweets using RoBERTa

• URL: http://arxiv.org/abs/2010.11238v1
• Date: Wed, 21 Oct 2020 18:43:13 GMT
• Title: Detection of COVID-19 informative tweets using RoBERTa
• Authors: Sirigireddy Dhanalaxmi, Rohit Agarwal, Aman Sinha
• Abstract summary: We present our work to detect informative Covid-19 English tweets using RoBERTa model as a part of the W-NUT workshop 2020. We show the efficacy of our model on a public dataset with an F1-score of 0.89 on the validation dataset and 0.87 on the leaderboard.
• Score: 5.564705758320338
• License: http://creativecommons.org/publicdomain/zero/1.0/
• Abstract: Social media such as Twitter is a hotspot of user-generated information. In this ongoing Covid-19 pandemic, there has been an abundance of data on social media which can be classified as informative and uninformative content. In this paper, we present our work to detect informative Covid-19 English tweets using RoBERTa model as a part of the W-NUT workshop 2020. We show the efficacy of our model on a public dataset with an F1-score of 0.89 on the validation dataset and 0.87 on the leaderboard.

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