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 …
[PDF][PDF] Text mining techniques for cyberbullying detection: state of the art
The dramatic growth of social media during the last years has been associated with the
emergence of a new bullying types. Platforms such as Facebook, Twitter, YouTube, and …
emergence of a new bullying types. Platforms such as Facebook, Twitter, YouTube, and …
Cyberbullying detection on social networks using machine learning approaches
The use of social media has grown exponentially over time with the growth of the Internet
and has become the most influential networking platform in the 21st century. However, the …
and has become the most influential networking platform in the 21st century. However, the …
Comparison of deep learning models and various text pre-processing techniques for the toxic comments classification
The emergence of anti-social behaviour in online environments presents a serious issue in
today's society. Automatic detection and identification of such behaviour are becoming …
today's society. Automatic detection and identification of such behaviour are becoming …
Cyberbullying identification system based deep learning algorithms
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 …
power differential between the victim and the perpetrators or abusers. Cyberbullying can …
Cyberbullying detection using machine learning
A Ali, AM Syed - Pakistan Journal of Engineering and …, 2020 - journals.uol.edu.pk
It is an age of the Internet and electronic media, and social media platforms are one of the
most frequently used communication medium nowadays. But some people use these sites …
most frequently used communication medium nowadays. But some people use these sites …
Cyberbullying detection using deep transfer learning
PK Roy, FU Mali - Complex & Intelligent Systems, 2022 - Springer
Social networking platforms like Facebook, Twitter, and others have numerous advantages,
but they have many dark sides also. One of the issues on these social platforms is …
but they have many dark sides also. One of the issues on these social platforms is …
Deployment of machine learning and deep learning algorithms in detecting cyberbullying in bangla and romanized bangla text: A comparative study
Popularity of social media has increased rapidly and now it is very easy to interact with
different persons across social media. As a result, cyberbullying towards people across …
different persons across social media. As a result, cyberbullying towards people across …
Use of data augmentation techniques in detection of antisocial behavior using deep learning methods
The work presented in this paper focuses on the use of data augmentation techniques
applied in the domain of the detection of antisocial behavior. Data augmentation is a …
applied in the domain of the detection of antisocial behavior. Data augmentation is a …
A survey of uncover misleading and cyberbullying on social media for public health
Misleading health information is a critical phenomenon in our modern life due to advance in
technology. In fact, social media facilitated the dissemination of information, and as a result …
technology. In fact, social media facilitated the dissemination of information, and as a result …