A Review Paper on Prediction of Depression Using User-Generated Content

Depression is a major issue which is increasing every day. So, to detect depression level it is best to study social media posts. Through social networking, users can communicate their feelings and share it online with their closest friends and family members.. Users are able to share the photos, ideas, texts; videos and information depend on their mood, feeling, vibes and emotion as well. Many people have difficulty for reflecting their feelings and mood to the doctors. Through social media tools such as Facebook, Twitter, Instagram, etc., they can display those moods. Depression can cause people to attempt suicide. So the study was done by analyzing various papers related to mood and negativity of users through Instagram, Twitter, Weibo, Facebook, etc. This survey is an outline of work done by the researchers in the area of twitter and Facebook posts about prediction of depression with machine learning methods.