Social Media Text-Based Emotion and Suicidal Prediction System

Abstract

People are used to engaging with social media platforms such as Facebook, Twitter, Instagram, and WhatsApp. They share their emotions by dropping a message to someone, adding a comment to a post, or posting an article or post. When people are not at a good mental level, especially those who are under uncontrollable pressure, they decide to commit suicide. This can be seen especially in the younger generations nowadays. Therefore, the author decided to do research and develop a system to predict the emotion category and the suicidal probability by using a given social media text by using NLP (Natural Language Processing). The relevant results will be displayed to the person who enters the text inputs with the justifications.