Performance Evaluation of Different Machine Learning Techniques using Twitter Data for Identification of Suicidal Intent

Rise of Social media influence has brought about immense changes in the way a person lives their life. Sharing thoughts, ideas and expression over a public platform gives a deep insight into the person's state of mind commonly coined as online behaviour. Research and Evaluation based on online behaviour have been conducted repeatedly. Using machine learning, this online trail of data that a person leaves behind can be used to gain insights on the behaviour and psychological status. In this paper, different machine learning techniques have been used, studied and gauged their effectiveness for suicidal tendency detection to prove that Machine Learning Algorithms like Logistic Regression can correctly identify residingresiding Suicidal Tendency of a Twitter user.