A review on deep-learning-based cyberbullying detection
Bullying is described as an undesirable behavior by others that harms an individual
physically, mentally, or socially. Cyberbullying is a virtual form (eg, textual or image) of …
physically, mentally, or socially. Cyberbullying is a virtual form (eg, textual or image) of …
[HTML][HTML] A robust hybrid machine learning model for Bengali cyber bullying detection in social media
Social networking platforms give users countless opportunities to share information,
collaborate, and communicate positively. The same platform can be extended to a fabricated …
collaborate, and communicate positively. The same platform can be extended to a fabricated …
Cyberbullying conceptualization, characterization and detection in social media–a systematic literature review
Social media has become the primary form of communication wherein users can share
intimate moments online through photos, videos, or posts. At a glance, while this greatly …
intimate moments online through photos, videos, or posts. At a glance, while this greatly …
Detection of bangla hate comments and cyberbullying in social media using nlp and transformer models
Hate speech and cyberbullying detection on social media is one of the most trending natural
language processing tasks in the current scenario. However, due to the lack of resources, a …
language processing tasks in the current scenario. However, due to the lack of resources, a …
ProTect: a hybrid deep learning model for proactive detection of cyberbullying on social media
The emergence of social media has given rise to a variety of networking and communication
opportunities, as well as the well-known issue of cyberbullying, which is continuously on the …
opportunities, as well as the well-known issue of cyberbullying, which is continuously on the …
Deep learning approach for classifying the aggressive comments on social media: Machine translated data vs real life data
Aggressive comments on social media negatively impact human life. Such offensive
contents are responsible for depression and suicidal-related activities. Since online social …
contents are responsible for depression and suicidal-related activities. Since online social …
Interpretable multi labeled bengali toxic comments classification using deep learning
TA Belal, GM Shahariar… - … Conference on Electrical …, 2023 - ieeexplore.ieee.org
This paper presents a deep learning-based pipeline for categorizing Bengali toxic
comments, in which at first a binary classification model is used to determine whether a …
comments, in which at first a binary classification model is used to determine whether a …
[HTML][HTML] Recurrent neural network based multiclass cyber bullying classification
Cyberbullying is one of the crimes that arise rapidly through the daily use of technology by
different types of people and, most notably, by sharing one's opinions or feelings on social …
different types of people and, most notably, by sharing one's opinions or feelings on social …
Multi-feature transformer for multiclass cyberbullying detection in bangla
Z Wahid, A Al Imran - IFIP International Conference on Artificial …, 2023 - Springer
Cyberbullying detection is a global issue that must be addressed to improve the cyberspace
for millions of online users, services, and organizations. Online harassment of the general …
for millions of online users, services, and organizations. Online harassment of the general …
Cyberbullying detection using deep learning techniques on bangla facebook comments
SB Shanto, MJ Islam, MA Samad - … International Conference on …, 2023 - ieeexplore.ieee.org
Bullying someone online is known as Cy-berbullying. As social media and the internet have
grown in popularity, it has taken a very negative turn. People use the Internet's services to …
grown in popularity, it has taken a very negative turn. People use the Internet's services to …