An Investigative Survey on Depression Detection from Social Media Data Using Machine Learning and Deep Learning Models

This study reviews different machine learning and deep learning methods used to detect depression from social media data. It compares commonly used models and techniques and discusses their strengths, limitations, and challenges. The study also highlights possible directions for improving the accuracy and reliability of depression detection systems.