Cyberbullying detection: an ensemble based machine learning approach

KS Alam, S Bhowmik… - 2021 third international …, 2021 - ieeexplore.ieee.org
Research on cyberbullying detection is gaining increasing attention in recent years as both
individual victims and societies are greatly affected by it. Moreover, ease of access to social …

Empirical analysis of supervised machine learning techniques for cyberbullying detection

A Kumar, S Nayak, N Chandra - … : Proceedings of ICICC 2018, Volume 2, 2019 - Springer
Cyberbullying is utilization of digital technology for targeting a person or a group in order to
bully them socially and psychologically. Real-time social media platforms such as Instagram …

Detection of hate tweets using machine learning and deep learning

L Ketsbaia, B Issac, X Chen - … on Trust, Security and Privacy in …, 2020 - ieeexplore.ieee.org
Cyberbullying has become a highly problematic occurrence due to its potential of anonymity
and its ease for others to join in the harassment of victims. The distancing effect that …

Cyberbullying identification system based deep learning algorithms

THH Aldhyani, MH Al-Adhaileh, SN Alsubari - Electronics, 2022 - mdpi.com
Cyberbullying is characterized by deliberate and sustained peer aggression, as well as a
power differential between the victim and the perpetrators or abusers. Cyberbullying can …

Detection of cyberbullying on social media using machine learning

V Jain, V Kumar, V Pal… - 2021 5th international …, 2021 - ieeexplore.ieee.org
Cyberbullying is a major problem encountered on internet that affects teenagers and also
adults. It has lead to mishappenings like suicide and depression. Regulation of content on …

[PDF][PDF] Deep learning algorithm for cyberbullying detection

MA Al-Ajlan, M Ykhlef - … Journal of Advanced Computer Science and …, 2018 - academia.edu
Cyberbullying is a crime where one person becomes the target of harassment and hate.
Many cyberbullying detection approaches have been introduced, however, they were …

Cyberbullying detection through sentiment analysis

JO Atoum - 2020 International Conference on Computational …, 2020 - ieeexplore.ieee.org
In recent years with the widespread of social media platforms across the globe especially
among young people, cyberbullying and aggression have become a serious and annoying …

A deep analysis of textual features based cyberbullying detection using machine learning

MI Mahmud, M Mamun… - 2022 IEEE Global …, 2022 - ieeexplore.ieee.org
Today's internet advancements boost our electronic connectivity to one another through the
use of social media platforms. Using social media has facilitated us in many ways, but it has …

Cyberbullying detection using pre-trained bert model

J Yadav, D Kumar, D Chauhan - … International Conference on …, 2020 - ieeexplore.ieee.org
Cyberbullying is spread across various social media platforms. It is a wrong deed in which
the victim is harassed by receiving the derogatory/provocative/sensitive images or text …

Cyberbullying detection solutions based on deep learning architectures

C Iwendi, G Srivastava, S Khan, PKR Maddikunta - Multimedia Systems, 2023 - Springer
Cyberbullying is disturbing and troubling online misconduct. It appears in various forms and
is usually in a textual format in most social networks. Intelligent systems are necessary for …