Sentimental Analysis Using Machine Learning for Mental Healthcare Management System

Abstract

Abstract: Mental health issues are becoming more and more common around the world, with more and more people suffering from stress, anxiety, depression, and other related disorders. It has led to the development of innovative approaches to identify and treat the problem. Sentiment analysis, is a computer technique that analyzes text and identifies the emotions behind it, detects and monitors mental health problems in real time. It can be used for analyzing social media posts, chat messages, and other forms of online communication, sentiment analysis can provide valuable insight into the emotional state of individuals and groups. This technology helps mental health professionals identify those in need of support and provide timely interventions, ultimately improving mental health outcomes for individuals and society as a whole.