tmn at #SMM4H 2023: Comparing Text Preprocessing Techniques for Detecting Tweets Self-reporting a COVID-19 Diagnosis. (arXiv:2311.00732v1 [cs.CL])

The paper describes a system developed for Task 1 at SMM4H 2023. The goal of
the task is to automatically distinguish tweets that self-report a COVID-19
diagnosis (for example, a positive test, clinical diagnosis, or
hospitalization) from those that do not. We investigate the use of different
techniques for preprocessing tweets using four transformer-based models. The
ensemble of fine-tuned language models obtained an F1-score of 84.5%, which is
4.1% higher than the average value.

arxiv clinical covid covid-19 diagnosis example paper positive report reporting test text tweets