Shayona@SMM4H23: COVID-19 Self diagnosis classification using BERT and
  LightGBM models
Rushi Chavda Darshan Makwana Vraj Patel Anupam Shukla
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.