Eshita Nandy
2020
IRLab@IITBHU at WNUT-2020 Task 2: Identification of informative COVID-19 English Tweets using BERT
Supriya Chanda
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Eshita Nandy
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Sukomal Pal
Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020)
This paper reports our submission to the shared Task 2: Identification of informative COVID-19 English tweets at W-NUT 2020. We attempted a few techniques, and we briefly explain here two models that showed promising results in tweet classification tasks: DistilBERT and FastText. DistilBERT achieves a F1 score of 0.7508 on the test set, which is the best of our submissions.