Early Detection of Suicide Using Big-Data Analytics in Real Time

This application is meant to be used by suicide prevention agencies. The growth of social media has presented a new set of challenges and opportunities in the field of suicide prevention. Studies have shown that many people have presented their feeling related to depression on social media [1]. A timely intervention could save lives of people who might have not given a thought of getting help themselves by going to counseling services offered by these agencies. American Foundation for Suicide Prevention (AFSP) has a webpage dedicated to warnings of suicide [2], or indications where a person might be showing suicidal tendencies. Research has shown that suicidal ideation or self-injurious behavior is an early warning of suicide [3]. American Association of Suicidology (Suicidology.org), lists vocalizing suicidal thoughts as one of the primary warning indicators for suicide. This application will provide assistance to organizations by fetching information from social media websites like Facebook, Twitter etc., in real time when posts and/ or comments exhibiting such tendencies are made.