Implementation of Hyperparameter optimisation and over-sampling in detecting cyberbullying using machine learning approach

WNHW Ali, M Mohd, F Fauzi, K Shirai… - Malaysian Journal of …, 2021 - mojes.um.edu.my
Online social networks have become a necessity to everyone around the world. Particularly,
online social networks have enabled us to connect to one another regardless of time, for as …

[PDF][PDF] Cyberbullying Detection using Machine Learning and Deep Learning

A Alabdulwahab, MA Haq… - International Journal of …, 2023 - researchgate.net
With the human passion for gaining knowledge, learning new things and knowing the news
that surrounds the world, social networks were invented to serve the human need, which …

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 …

[PDF][PDF] Cyberbullying detection based on hybrid ensemble method using deep learning technique in bangla dataset

MT Ahmed, AS Urmi, M Rahman… - … Journal of Advanced …, 2023 - researchgate.net
Globalization is certainly a blessing for us. Still, this term also brought such things that are
constantly not only creating social insecurities but also diminishing our mental health, and …

Detecting cyberbullying using deep learning techniques: a pre-trained glove and focal loss technique

AM El Koshiry, EHI Eliwa, T Abd El-Hafeez… - PeerJ Computer …, 2024 - peerj.com
This study investigates the effectiveness of various deep learning and classical machine
learning techniques in identifying instances of cyberbullying. The study compares the …

[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 …

Detection of cyberbullying using machine learning and deep learning algorithms

KG Apoorva, D Uma - … 2nd Asian Conference on Innovation in …, 2022 - ieeexplore.ieee.org
Use of digital technologies lead to the development of cyberbullying and social media has
become a major source for it compared to mobile phones, platforms such as gaming and …

An Ensemble-Based Multi-Classification Machine Learning Classifiers Approach to Detect Multiple Classes of Cyberbullying

AF Alqahtani, M Ilyas - Machine Learning and Knowledge Extraction, 2024 - mdpi.com
The impact of communication through social media is currently considered a significant
social issue. This issue can lead to inappropriate behavior using social media, which is …

Performance analysis of artificial neural network based classfiers for cyberbulling detection

E Çürük, Ç Acı, ES Eşsiz - 2018 3rd International Conference …, 2018 - ieeexplore.ieee.org
In this study, analyzes were performed to detection of cyberbullying by Artificial Neural
Network (ANN) based classifiers. In contrast to the general classifiers used in the detection …

[PDF][PDF] Review on detection of cyberbullying using machine learning

SR Khokale, V Gujrathi, R Thakur, A Mhalas… - J. Emerg. Technol …, 2021 - academia.edu
Internet has touched every aspect of human life, bringing ease in connecting people around
the globe and has made information available to huge strata of the society on a click of a …