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Stride for Detecting Suicidal Thoughts Using Artificial Intelligence

Journal: International Journal of Trend in Scientific Research and Development (Vol.6, No. 2)

Publication Date:

Authors : ;

Page : 326-329

Keywords : Suicide; Suicide Prevention; Social Media; Algorithm; Machine Learning;

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Abstract

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. Shrivallabh Walkade | Rajesh Sonnakula | Deepak Kumar | Shreyas Nambiar "Stride for Detecting Suicidal Thoughts Using Artificial Intelligence" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-2 , February 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49182.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/49182/stride-for-detecting-suicidal-thoughts-using-artificial-intelligence/shrivallabh-walkade

Last modified: 2022-07-18 17:30:52