Depression is one of the critical mental health problems faced humans of all ages and gender. Depression may sometimes lead to a heart attack, causes adverse effects, and becomes a serious medical problem in how individuals feel and act in everyday life and could result in suicide.
Social media posts are usually the outcome of peoples’ feelings on different topics. Social media platforms like twitter, Instagram, and Facebook allow users to post daily and emotional thoughts to be shared at any time and openly. For example, many suicidal tendencies share their thoughts and opinions through social media platforms.
This paper studies the opportunity for artificial intelligence to predict depression levels by analyzing social media data. The aim is to show the feasibility of applying machine-learning techniques to social media data, with a view to developing an artificially intelligent system that could provide online mental.