STP:Suicidal Tendency Prediction Among the Youth Using Social Network Data

摘要: The suicide tendency is increasing day to day. It having a negative impact on our youth. Human at possibility of does not want help before trying attempt and do feel necessity any mental health counselling. As result, suicidal becoming social challenge. At the same time, media are popular for communication exchange emotional expression world. Social like Twitter, Facebook Instagram play major role emotion sharing. Therefore, huge number people publishes their depression happiness within notes in these Twitter. platform Twitter has large collection notes. In this situation, machine learning helps early prediction tendency. paper, we develop soft solution which able detect among approach, train model with genuine post collected from different sources generate score input tweet high or low prediction. With postings identify risk suicide.