Depression Detection on Social Media with the Aid of Machine Learning Platform: A Comprehensive Survey

Abstract

Depression is a group of mental disorders associated with certain factors which can affect the mood, feelings, negativity, losing interest, and sadness in human participants. To maintain the quality of life, people tend to experience fewer mental health issues. Today social media is a major part of our daily life and these social media sites offer an important platform to share their emotions, feelings in day-to-day routine and life events. In recent years, automatic depression detection on social media-related studies has improved. The objective of this paper is to identify the different machine learning algorithm methods, techniques, and approaches used by various studies related to depression detection on social media platforms by conducting a comprehensive review. Various studies of from year 2013 to 2020 are reviewed to explore the research gaps and future directions.