Binary classification of English Reddit posts self-reporting a social anxiety disorder diagnosis

This paper presents the system developed by Team ThaparUni for the Social Media Mining for Health Applications (SMM4H) 2023 Shared Task 4. The task involved binary classification of English Reddit posts, focusing on self-reporting social anxiety disorder (SAD) diagnoses. The final system employed a combination of three models: RoBERTa, ERNIE, and XLNet, and results obtained from all three models were integrated. The results, specifically in the context of mental health-related content analysis on social media platforms, show the possibility and viability of using multiple models in binary classification tasks.