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Suicidal Tendency on Social Media: A Case Study

Suicide is one of the major grounds of death worldwide. According to WHO analysis, one death transpires in every 20 sec or 3000 per day. It predicts in year 2020 approx 1.53 million people will die from suicide. Not only mental illness induces suicide but various other reasons, such as, depression, bipolar disorder, anxiety, or schizophenmonia may also stimuli the same. Social media out-turns its user’s life especially teenagers of (10-24 years) age group. There are various reason of suicide attemptation and these are cyberbullying, Discrimination, Peer Pressure. Primarily data is to be collected, by various means of social media platforms such as Facebook, Twitter, Instagram and Tumblr and then preprocessed and finally analysed to predict various suicidal attempts. Data analysis extracts the sentiments of the person who want to die through their tweets. As sentiments are the main reason to attempt suicide and this is discussed by various researchers. There are various data Analysis techniques i.e. text mining, sentiment analysis, network analysis, quantitative data analysis. This paper predicts and presents a review of these techniques and challenges of the above mentioned problem. The motivation of this paper is to provide general review about the prognostics of suicide attempts on social media.