Mental Health Classification on Social-Media: Systematic Review

Abstract

In recent years, digitization of clinical psychology has helped experts and researchers to determine and handle the mental health problems of masses. The mental health problems are addressed with multiple names. The social media text may or may not entitle the user for any such mental health problem due to subjective interpretation. Many learning-based approaches and computational intelligence techniques have evolved to identify the potential users under threat of clinical depression and suicidal tendency. In this manuscript, efforts have been made to encapsulate the information from recent research works from 2016 to 2021 and state-of-the-art approaches to classify the microblogs which are associated with mental health misbalancing.