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This paper presents the approach that we employed to tackle the EMNLPWNUT-2020 Shared Task 2 : Identification of informative COVID-19 EnglishTweets. The task is to develop a system that automatically identifies whetheran English Tweet related to the novel coronavirus (COVID-19) is informative ornot. We solve the task in three stages. The first stage involves pre-processingthe dataset by filtering only relevant information. This is followed byexperimenting with multiple deep learning models like CNNs, RNNs andTransformer based models. In the last stage, we propose an ensemble of the bestmodel trained on different subsets of the provided dataset. Our final approachachieved an F1-score of 0.9037 and we were ranked sixth overall with F1-scoreas the evaluation criteria.

Phonemer at WNUT-2020 Task 2: Sequence Classification Using COVID Twitter BERT and Bagging Ensemble Technique based on Plurality Voting