Research Article
Cyberbullying Detection in Social Networks using Machine Learning Models
@INPROCEEDINGS{10.4108/eai.7-12-2021.2314577, author={Nivethitha R and Jayashree D}, title={Cyberbullying Detection in Social Networks using Machine Learning Models}, proceedings={Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India}, publisher={EAI}, proceedings_a={ICCAP}, year={2021}, month={12}, keywords={cyberbullying text classification python machine learning offensive language detection}, doi={10.4108/eai.7-12-2021.2314577} }- Nivethitha R
Jayashree D
Year: 2021
Cyberbullying Detection in Social Networks using Machine Learning Models
ICCAP
EAI
DOI: 10.4108/eai.7-12-2021.2314577
Abstract
Innovation is increasing rapidly in this dynamic world. Innovation gives rise to communication. Cyberbullying happens through communication. Cyberbullying is an act of targeting a person or a group of people to insult them in the form of electronic messages in social media and the depression forces them to commit suicide. It is a very big problem which should be destroyed. These activities should be stopped. Social media is a major environment to create negative comments and it is the birthplace for cyberbullying. Nearly 80% of young people in the world commit suicide because of depression from cyberbullying. This paper has articulated all the points and ideas that are used in the detection of cyberbullying in social media and also its impacts.