Dashboard for Monitoring Depression Amongst Twitter Users Using Sentiment Analysis

• Main Author: Seman, Fatyn Nurraihanah
• Format: Final Year Project
• Language: English
• Published: 2021
• Subjects: T Technology (General)
• Online Access: http://utpedia.utp.edu.my/id/eprint/24091/1/Dashboard%20for%20Monitoring%20Depression%20Amongst%20Twitter%20Users%20Using.pdf; http://utpedia.utp.edu.my/id/eprint/24091/

This report will document and elaborate the idea of this project, Dashboard for Monitoring Depression Amongst Twitter Users Using Sentiment Analysis. By capturing Tweets from users on Twitter as the basis of research, sentiment analysis is performed by implementing machine learning to help identify the traits and polarity for depression categorised under mental health. The problem statement for this project being mental illness which has been one of the biggest health issues in Malaysia where sentiment analysis will be the tool to gather the proof from one of the many social media platforms, Twitter.