Social Media and Mental Health: An IoT Approach to Identifying Suicide Mentation Using Deep Learning

Social Media and Mental Health: An IoT Approach to Identifying Suicide Mentation Using Deep Learning

Harpreet Kaur*

*Assistant Professor in Computer,

Khalsa College, (ASR) of Technology & Business Studies,

Mohali-Punjab.

E-mail. id:-naemat745@gmail.com

Abstract

Suicidal ideation sufferers post their opinions and ideas on social media frequently. As a result, research from multiple studies has shown that posts on social media can be utilized to spot people who are contemplating suicide. However, it can be challenging to recognize and comprehend patterns of suicidal thought. It is crucial to develop a machine learning system that can immediately spot suicidal ideas or any abrupt changes in a user's behavior by looking at their social media posts. In this article, we suggest a technique for developing a suicidal ideation detection system based on experimental research that makes use of publicly accessible Reddit datasets, word-embedding methods, classification-focused machine learning technology, or deep learning. Through Reddit, the study finds that wise feature selection and combination lead to improved performance.