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Predictive Analysis of Absenteeism in MNCS Using Machine Learning Algorithm Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Suicidal Ideation from the Perspective of Social and Opinion Mining

Authors : Akshma Chadha, Baijnath Kaushik

Published in: Proceedings of ICRIC 2019

Publisher: Springer International Publishing

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Abstract

Social media is a way of communicating with others and its popularity is growing worldwide. It has a lot of influence on its users. People read various posts and get affected by it. Suicide is one of the major health issues on social media which influence others to do the same. The number of suicides is increasing day by day. Thus, a need arises to find or develop a way to control suicides through social media. Machine learning is being widely used by many researchers for this purpose, with the help of psychiatrists. A lot of studies have been done in this field. In this paper, we have reviewed the existing work in this field inferring their limitations so that further work can be carried out.

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Metadata
Title
Suicidal Ideation from the Perspective of Social and Opinion Mining
Authors
Akshma Chadha
Baijnath Kaushik
Copyright Year
2020
Book
Proceedings of ICRIC 2019

Print ISBN: 978-3-030-29406-9

Electronic ISBN: 978-3-030-29407-6

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-29407-6_47

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