Enhancing Mental Health Diagnosis with Attention-Based Model

Abstract

Depression is a prevalent and severe mental health disorder that impacts millions globally, often manifesting through varied and subtle language expressions in text. Early detection is critical to enabling timely intervention and improving patient outcomes. This study presents a deep learning model specifically designed for the classification of mental health texts, focusing on depression detection