Depression Detection Using Machine Learning

Abstract

Abstract: Social media platforms like Facebook, Twitter, Instagram, and Reddit have had a profound and lasting impact on our society. They have increased connectivity among people and allowed individuals to create a digital persona. While social media has many positive aspects, there are also undeniable drawbacks. Recent research has shown a link between excessive social media use and higher levels of depression. The objective of this project is to identify depression by analysing audio, text, or recordings. The study utilizes machine learning techniques to detect potential signs of depression in users based on their network behaviour and tweets. To accomplish this, classifiers were trained and tested using features extracted from users' activities on social media networks and their tweets. The keywords associated with this study include social media, mental health, depression, network behaviour, and tweets.