# Detection of COVID-19 informative tweets using RoBERTa

arXiv: https://arxiv.org/abs/2010.11238 · HTML: https://mlsanity.com/paper/2010.11238/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Oct 2020.

## Built on by (most cited first, 1 of 1)

- [Mental Illness Classification on Social Media Texts using Deep Learning and Transfer Learning](https://mlsanity.com/paper/2207.01012/) (2022)

## Abstract (arXiv)

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.