Depression Detection Model in Social Network Content

Abstract

Social media (SM) is a platform that generates a massive quantity of data every day and allows individuals to engage with one another. For many people, social media has evolved into a way of life and the fifth component of daily living. Among the most popular social media platforms are Facebook, Instagram, Twitter, WhatsApp, and Snapchat. Depression is a frequent and dangerous medical condition that has a negative impact on how you feel, think, and act. A therapist's ability to swiftly detect depression in persons is limited since they cannot observe a person's mood throughout the day. Researchers can assess a person's sentiments via social media by looking at the user's posts and comments to discover if he or she has a mental issue. This survey study mirrors prior research on detecting depression using user-generated material from social media platforms, which introduce different techniques and compare between it to obtain accuracy.