Depression Prediction in Social Media Using ML
Social media can be misused as there is a large amount of data available, which tells us about the user’s behavioral and mental attributes. Using that data, we understand the mental health of the users using social media which will help psychiatrist, anyone who is concerned, family and friends to provide them with proper medical guide and treatment on time to the suffering user and thereby preventing any issue. This project focuses on detection of depression in social media specifically twitter by doing a search of set of words. Thus measuring the range of depression in a user. This project further focuses on sending a alert message through email to the closest person provided.