Mental Health Prediction using Sentimental Analysis

Abstract

Abstract: The objective of this paper is to create a mental health prediction system through text sentimental analysis. The system will employ natural language processing technique to examine expressions and sentiments conveyed in text, aiming to predict the likelihood of an individual experiencing mental health issues such as anxiety, depression, or stress. The proposed system will make use of machine learning models to extract features that will provide with the results of sentiment analysis derived from text input. The integrated features will then be utilized to predict the likelihood of an individual experiencing mental health issues.