Detection and Analysis of Depression Level Using Social Media

Detection of depression through messages sent by a user on social media are often a fancy task because of the recognition and trends in them. In recent years, messages and social media has over up being a really shut illustration of a person’s life and his status. This is often an enormous stockpile of information a couple of person’s behaviour and might be used for detection of varied mental sicknesses (depression in our case) victimisation tongue process. This project is regarding constructing a model victimisation NLP to predict such mental disorders. Short-term memory networks square measure well-suited to classifying, process and creating predictions supported statistic knowledge, since there are often lags of unknown length between necessary events during a statistic.