Cyberbullying in text content detection: an analytical review
Technological advancements have resulted in an exponential increase in the use of online
social networks (OSNs) worldwide. While online social networks provide a great …
social networks (OSNs) worldwide. While online social networks provide a great …
DEA-RNN: A hybrid deep learning approach for cyberbullying detection in Twitter social media platform
Cyberbullying (CB) has become increasingly prevalent in social media platforms. With the
popularity and widespread use of social media by individuals of all ages, it is vital to make …
popularity and widespread use of social media by individuals of all ages, it is vital to make …
Cyberbullying detection on twitter using deep learning-based attention mechanisms and continuous Bag of words feature extraction
Since social media platforms are widely used and popular, they have given us more
opportunities than we can even imagine. Despite all of the known benefits, some users may …
opportunities than we can even imagine. Despite all of the known benefits, some users may …
Detecting arabic cyberbullying tweets using machine learning
AM Alduailaj, A Belghith - Machine Learning and Knowledge Extraction, 2023 - mdpi.com
The advancement of technology has paved the way for a new type of bullying, which often
leads to negative stigma in the social setting. Cyberbullying is a cybercrime wherein one …
leads to negative stigma in the social setting. Cyberbullying is a cybercrime wherein one …
An application to detect cyberbullying using machine learning and deep learning techniques
M Raj, S Singh, K Solanki, R Selvanambi - SN computer science, 2022 - Springer
Nowadays, a lot of people indulge themselves in the world of social media. With the current
pandemic scenario, this engagement has only increased as people often rely on social …
pandemic scenario, this engagement has only increased as people often rely on social …
Comparative performance of ensemble machine learning for Arabic cyberbullying and offensive language detection
Since cyberbullying impacts both individual victims and entire society, research on abusive
language and its detection has attracted attention in recent years. Because social media …
language and its detection has attracted attention in recent years. Because social media …
Detection of cyberbullying patterns in low resource colloquial Roman Urdu microtext using natural language processing, machine learning, and ensemble techniques
Social media platforms have become a substratum for people to enunciate their opinions
and ideas across the globe. Due to anonymity preservation and freedom of expression, it is …
and ideas across the globe. Due to anonymity preservation and freedom of expression, it is …
FAEO-ECNN: cyberbullying detection in social media platforms using topic modelling and deep learning
The widespread use of Social Media Platforms (SMP) such as Twitter, Instagram, Facebook,
etc. by individuals has recently led to a remarkable increase in Cyberbullying (CB). It is a …
etc. by individuals has recently led to a remarkable increase in Cyberbullying (CB). It is a …
[PDF][PDF] Machine learning in cyberbullying detection from social-media image or screenshot with optical character recognition
Along with the growth of the Internet, social media usage has drastically expanded. As
people share their opinions and ideas more frequently on the Internet and through various …
people share their opinions and ideas more frequently on the Internet and through various …
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 …
social issue. This issue can lead to inappropriate behavior using social media, which is …