Suicide has been major death cause from an over decade now. The ideation of suicide and its thought process leads to a very dangerous after effect. Since social media is very trending factor now a day’s, it can be used to detect suicide ideation. Artificial intelligence which is used for tasks like problem solving, spam filter, speech recognition etc. can also be used for detect suicides over social media. This study is aimed in designing an automated classifier which can detect suicidal thoughts with the help of algorithmic approach by studying various patterns in the discussions or communications. This paper also studies the previous attempts made for the design of such architecture. At the end we conclude the feasibility and practicability of the approach that we are going to use for the detection of suicide attempts on social media.
Suicide, Suicide Prevention, Social Media, Algorithm, Machine Learning
International Journal of Trend in Scientific Research and Development - IJTSRD having
online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International
Journal which provides rapid publication of your research articles and aims to promote
the theory and practice along with knowledge sharing between researchers, developers,
engineers, students, and practitioners working in and around the world in many areas
like Sciences, Technology, Innovation, Engineering, Agriculture, Management and
many more and it is recommended by all Universities, review articles and short communications
in all subjects. IJTSRD running an International Journal who are proving quality
publication of peer reviewed and refereed international journals from diverse fields
that emphasizes new research, development and their applications. IJTSRD provides
an online access to exchange your research work, technical notes & surveying results
among professionals throughout the world in e-journals. IJTSRD is a fastest growing
and dynamic professional organization. The aim of this organization is to provide
access not only to world class research resources, but through its professionals
aim to bring in a significant transformation in the real of open access journals
and online publishing.