Cyberbullying detection for low-resource languages and dialects: Review of the state of the art
The struggle of social media platforms to moderate content in a timely manner, encourages
users to abuse such platforms to spread vulgar or abusive language, which, when …
users to abuse such platforms to spread vulgar or abusive language, which, when …
Challenges of hate speech detection in social media: Data scarcity, and leveraging external resources
The detection of hate speech in social media is a crucial task. The uncontrolled spread of
hate has the potential to gravely damage our society, and severely harm marginalized …
hate has the potential to gravely damage our society, and severely harm marginalized …
Vietnamese hate and offensive detection using PhoBERT-CNN and social media streaming data
Society needs to develop a system to detect hate and offense to build a healthy and safe
environment. However, current research in this field still faces four major shortcomings …
environment. However, current research in this field still faces four major shortcomings …
A deep learning framework for the detection of Malay hate speech
Although social media can efficiently disseminate information, they also facilitate the
dissemination of online abuse, harassment, and hate speech. In 2019, United Nations …
dissemination of online abuse, harassment, and hate speech. In 2019, United Nations …
Job prediction: From deep neural network models to applications
Determining the job is suitable for a student or a person looking for work based on their job
descriptions such as knowledge and skills that are difficult, as well as how employers must …
descriptions such as knowledge and skills that are difficult, as well as how employers must …
Hate speech detection using transformer ensembles on the hasoc dataset
With the ubiquity and anonymity of the Internet, the spread of hate speech has been a
growing concern for many years now. The language used for the purpose of dehumanizing …
growing concern for many years now. The language used for the purpose of dehumanizing …
Hate speech detection and classification in amharic text with deep learning
Hate speech is a growing problem on social media. It can seriously impact society,
especially in countries like Ethiopia, where it can trigger conflicts among diverse ethnic and …
especially in countries like Ethiopia, where it can trigger conflicts among diverse ethnic and …
Sa2sl: From aspect-based sentiment analysis to social listening system for business intelligence
In this paper, we present a process of building a social listening system based on aspect-
based sentiment analysis in Vietnamese, from creating a dataset to building a real …
based sentiment analysis in Vietnamese, from creating a dataset to building a real …
MLHS-CGCapNet: A Lightweight Model for Multilingual Hate Speech Detection
The rapid advancement of computer technology and the widespread adoption of online
social media platforms have inadvertently provided fertile ground for individuals with …
social media platforms have inadvertently provided fertile ground for individuals with …
[PDF][PDF] Hate Speech Detection in Social Media (Twitter) Using Neural Network.
Hate speech recently became a real threat in social media, and almost all social media
users are intended to in different ways. Hate speech is not limited to a group or society. It …
users are intended to in different ways. Hate speech is not limited to a group or society. It …