Sirigireddy Dhana Laxmi

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2020

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DSC-IIT ISM at WNUT-2020 Task 2: Detection of COVID-19 informative tweets using RoBERTa
Sirigireddy Dhana Laxmi | Rohit Agarwal | Aman Sinha
Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020)

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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