핵심 개념
Early detection of depression through a Multimodal Object-Oriented Graph Attention Model (MOGAM) offers scalable and versatile solutions for mental health monitoring on social media.
통계
MOGAM achieved an accuracy of 0.871 and an F1-score of 0.888.
인용구
"Social media provides an interactive platform for individuals to share their thoughts, assertions, experiences, and emotions."
"Our model aims to determine whether the vlog uploader is experiencing depression."