Depression Detection on Social Media Using Machine Learning Techniques

Depression is a common but serious mental health disorder. Still, most people dealing with depression do not approach doctors for this problem. On the other hand, the use of Social Media Sites like Twitter is expanding extremely fast. Nowadays, people tend to rely on these social media platforms to share their emotions and feeling–s through their feed. Thus, this readily available content on social media has become helpful for us to analyse the mental health of such users. We can apply various machine learning techniques on this social media data to extract the mental health status of a user focusing on Depression. Detecting texts that express negativity in the data is one of the best ways to detect depression. In this paper, we highlighted this problem of depression and discussed various techniques on how to detect it. we implemented a system that can detect if a person on social media is going through depression or not by analysing the user’s data and activities by using various machine learning techniques.