This paper is published in Volume-7, Issue-6, 2022
Area
Computer Science and Engineering
Author
M. S. Jothi, Dr. J. Jospin Jeya
Org/Univ
Jeppiaar Engineering College, Chennai, Tamil Nadu, India
Pub. Date
03 January, 2022
Paper ID
V7I6-1422
Publisher
Keywords
Cyberbullying, Detection, Prevention, Blocking Malicious Users, Natural Language Process, Backpropagation

Citationsacebook

IEEE
M. S. Jothi, Dr. J. Jospin Jeya. Detecting and preventing cyberbullying comments on social media using Deep Learning, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
M. S. Jothi, Dr. J. Jospin Jeya (2022). Detecting and preventing cyberbullying comments on social media using Deep Learning. International Journal of Advance Research, Ideas and Innovations in Technology, 7(6) www.IJARIIT.com.

MLA
M. S. Jothi, Dr. J. Jospin Jeya. "Detecting and preventing cyberbullying comments on social media using Deep Learning." International Journal of Advance Research, Ideas and Innovations in Technology 7.6 (2022). www.IJARIIT.com.

Abstract

Increasing social media sites attract the attention of all people. We can utilize its benefits effectively for good things. But few people don’t use these sites in the right way. Hating comments, spreading rumors, blackmailing using social sites have been increased. Much research is involved in solving these problems by employing machine learning and deep learning algorithms. The most existing solution is detecting cyberbullying, but facing difficulties in analyzing the short texts. Blocking the user who cyberbullying is also not possible. This paper proposes a detailed review of the machine and deep learning approach for detecting, preventing cyberbullying, and blocking malicious users using Natural Language Processing technique (NLP) and deep learning algorithm named as Backpropagation neural network algorithm.