Leveraging Large Language Models for Improved Health-Related Text Classification on Social Media Data

Employing data augmentation using large language models (GPT-4) with human-annotated data to train lightweight supervised classification models achieves superior results compared to training with human-annotated data alone or using large language models as zero-shot classifiers.