Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: a computational approach

Abstract

Depression is a mood disorder that includes feelings of sadness, loss, or anger. It interferes with a person's daily activities. People express frustration in various ways. Some people react on social media whereas other people react in their personal lives. People use social media to share information and chat with friends. This creates a huge amount of data each day. These data can be gathered in the form of images, videos, and text reflecting the mental status of the person. However, researchers are working to employ computational models on user-generated content to learn patterns automatically, although much small-scale research has been conducted by assuming that the unimodality of data may not bring us truthful results. This chapter explains various models of machine learning to detect depression. The models are implemented to analyze emotions using Twitter and Facebook posts.