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Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task
In this paper, we present the ULD-NUIG team's system, designed as part of Social Media Mining for Health Applications (#SMM4H) Shared Task 2021. We participate in two tasks out of eight, namely "Classification of tweets self-reporting potential cases of COVID-19" (Task 5) and "Classification of COVID19 tweets containing symptoms" (Task 6). The team conduct a series of experiments to explore the challenges of both the tasks. We used a multilingual pre-trained BERT model for Task 5 and Generativedoi:10.18653/v1/2021.smm4h-1.33 fatcat:ac3osw5qkfdvlkktrzwzi7xvui