Citation

Evangeline D, Vadakkan AS, Sachin RS, Khateeb A, Bhaskar C. International Journal of Advanced Computer Science and Applications 2021; 12(12): 217-221.

Copyright

(Copyright © 2021)

DOI

10.14569/IJACSA.2021.0121228

PMID

unavailable

Abstract

Cyberbullying is the use of technology to harass, threaten or target another individual. Online bullying can be particularly damaging and upsetting since it is usually anonymous and it's often hard to trace the bully. Sometimes cyberbullying can lead to issues like anxiety, depression, shame, suicide, etc. Most of the cyberbullying cases are not revealed to the public and the number of cases reported to the legal system is only few. Certain victims do not reveal their bully experiences out of shame or due to difficult procedures for reporting to the legal system. Our cyberbullying detection system aims to bring cases involving cyberbullying under control by detecting and warning the bully. Such cases are also reported to appropriate authorities, which can then be verified and necessary actions can be taken depending on the situation. The technology stack used for implementation include Flask, Scikit learn, Chat application APIs, Firebase, HTML, Javascript and CSS. The model was tested on classifiers like SVM, KNN, Logistic regression and Random Forest. F1 score was used as a metric to assess the four models. While analyzing the performances of these models, it was observed that Random Forest Classifier outperformed all the models. F1 score of 93.48% was achieved using the Random Forest Classifier. © 2021. All Rights Reserved.

Language: en

Keywords

Logistic regression; Computer crime; Decision trees; Support vector machines; Cyber bullying; Support vector machine; Support vectors machine; Nearest neighbor search; Application programming interfaces (API); Cyberbullying detection; Detection system; F1 scores; K near neighbor; kNN (k nearest neighbor); Legal system; logistic regression; Logistics regressions; random forest classifier; Random forest classifier; support vector machine (SVM)