International Journal of Engineering Research in Electronics and Communication Engineering

Cyberbullying Detection based on Semantic- Enhanced Marginalized Denoising Auto-Encoder

Author : D. Swathi ¹ S. Babu ²

Date of Publication :20th April 2018

Abstract: Social Networking is a group of Internet based applications that allow the creation and exchange of user-generated content. Via social media, people can enjoy enormous information, convenient communication experience and so on. Since, social media may have some side effects such as cyberbullying, which may have negative impacts on the life of people, especially children and teenagers. Cyberbullying can be defined as aggressive, intentional actions performed by an individual or a group of people via digital communication methods such as sending messages and posting comments against a victim. Different from traditional bullying that usually occurs at school during face-to- face communication, cyberbullying on social media can take place anywhere at any time. Most of the individuals involved in these activities belong to the younger generations, especially teenagers, who in the worst scenario are at more risk of suicidal attempts. Here, we propose the technique for detection and avoidance of cyberbullying words in social media when cyberbullying takes place. And also proposing the technique for detection and blocking the accessing of a predator in social media.

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