Shayona@SMM4H23: COVID-19 Self diagnosis classification using BERT and LightGBM models

Rushi Chavda; Darshan Makwana; Vraj Patel; Anupam Shukla

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arXiv · 2401.02158

Shayona@SMM4H23: COVID-19 Self diagnosis classification using BERT and LightGBM models

Rushi Chavda·Darshan Makwana·Vraj Patel·Anupam Shukla

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Abstract

This paper describes approaches and results for shared Task 1 and 4 of SMMH4-23 by Team Shayona. Shared Task-1 was binary classification of english tweets self-reporting a COVID-19 diagnosis, and Shared Task-4 was Binary classification of English Reddit posts self-reporting a social anxiety disorder diagnosis. Our team has achieved the highest f1-score 0.94 in Task-1 among all participants. We have leveraged the Transformer model (BERT) in combination with the LightGBM model for both tasks.

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Rushi Chavda, Darshan Makwana, Vraj Patel, Anupam Shukla. 2024-01-04. Shayona@SMM4H23: COVID-19 Self diagnosis classification using BERT and LightGBM models. https://arxiv.org/abs/2401.02158

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