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Comparative Study of Cyberbullying Detection using Different Machine Learning Algorithms

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Comparative Study of Cyberbullying Detection using Different Machine Learning Algorithms


Rohini K R | Sreehari T Anil | Sreejith P M | Yedumohan P M



Rohini K R | Sreehari T Anil | Sreejith P M | Yedumohan P M "Comparative Study of Cyberbullying Detection using Different Machine Learning Algorithms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3, April 2020, pp.1044-1048, URL: https://www.ijtsrd.com/papers/ijtsrd30765.pdf

The advancement of social media plays an important role in increasing the population of youngsters on the web. And it has become the biggest medium of expressing one’s thoughts and emotions. Recent studies report that cyberbullying constitutes a growing problem among youngsters on the web. These kinds of attacks have a major influence on the current generation’s personal and social life because youngsters are ready to adopt online life instead of a real one, which leads them into an imaginary world. So, we are proposing a system for early detection of cyberbullying on the web and comparing different machine learning Algorithms to obtain the optimal result. We are comparing four different algorithms which can be effectively used for the detection of cyberbullying, with the implementation of the bag of words algorithm with different n-gram methods. Comparatively naïve Bayes algorithm has the highest accuracy of 79% with trigram implementation of the bag of words algorithm.

cyber bullying, machine learning, naïve Bayes algorithm, decision tree algorithm, logistic regression algorithm, support vector machine algorithm


IJTSRD30765
Volume-4 | Issue-3, April 2020
1044-1048
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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