health
RoBERTa model predicts depression-related Twitter users with 0.822 accuracy in preprint
A medRxiv preprint reports that a RoBERTa model classified depression-related Twitter users with 0.822 accuracy on an 80/20 training–testing split. The study also used GPT-4o to identify themes in posts, including societal pressure and low self-esteem.