Soul-Surveyor: Mental Health Monitoring using Business Intelligence and Sentiment Analysis


EOI: 10.11242/viva-tech.01.07.025

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Citation

Abhidnya Patil, Siddhesh Panchal, Dhanashri Patil, Prof. Bhavika Thakur, "Soul-Surveyor: Mental Health Monitoring using Business Intelligence and Sentiment Analysis", VIVA-IJRI Volume 1, Issue 7, Article COMP_25, pp. 1-7, 2024. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

The growing concerns about mental health have prompted the development of innovative systems for monitoring mental well-being. This research proposes a system called Soul-Surveyor, which combines business intelligence and sentiment analysis to track and predict mental health status. By analyzing user-generated data from social media and other online platforms, the system aims to provide real-time insights into mental health patterns and offer interventions to improve emotional well-being. The use of machine learning techniques, such as Bi-LSTM and sentiment analysis models, enhances the accuracy of predictions.

Keywords

Mental Health, Business Intelligence, Sentiment Analysis, Emotional Health, Social Media Analysis, Bi-LSTM, BERT Model, Predictive Analytics, Mental Health Monitoring.

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