Machine Learning-Based Detection Of Mental Illness Through Social Media: A Comparative Study

Abstract

Social media platforms provide an easily accessible and time-saving communication approach for individuals with mental disorders compared to face-to-face meetings with medical providers. Recently, Machine learning (ML)-primarily based totally intellectual fitness exploration the usage of large-scale social media information has attracted good sized attention. ML processes may be powerful for detecting melancholy the usage of textual content statistics from social media and that the goal of growing a pretty legitimate technique for such studies can be inside reach. Additionally, it seems appropriate and applicable for these methods to function as a complementary tool to the more traditional, established methods for diagnosing mental illness.