Cyberbullying detection for low-resource languages and dialects: Review of the state of the art

T Mahmud, M Ptaszynski, J Eronen, F Masui - Information Processing & …, 2023 - Elsevier
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 …

Challenges of hate speech detection in social media: Data scarcity, and leveraging external resources

G Kovács, P Alonso, R Saini - SN Computer Science, 2021 - Springer
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 …

Vietnamese hate and offensive detection using PhoBERT-CNN and social media streaming data

K Quoc Tran, A Trong Nguyen, PG Hoang… - Neural Computing and …, 2023 - Springer
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 …

A deep learning framework for the detection of Malay hate speech

K Maity, S Bhattacharya, S Saha, M Seera - IEEE Access, 2023 - ieeexplore.ieee.org
Although social media can efficiently disseminate information, they also facilitate the
dissemination of online abuse, harassment, and hate speech. In 2019, United Nations …

Job prediction: From deep neural network models to applications

T Van Huynh, K Van Nguyen… - … on computing and …, 2020 - ieeexplore.ieee.org
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 …

Hate speech detection using transformer ensembles on the hasoc dataset

P Alonso, R Saini, G Kovács - International conference on speech and …, 2020 - Springer
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 …

Hate speech detection and classification in amharic text with deep learning

SM Gashe, SM Yimam, Y Assabie - arxiv preprint arxiv:2408.03849, 2024 - arxiv.org
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 …

Sa2sl: From aspect-based sentiment analysis to social listening system for business intelligence

L Luc Phan, P Huynh Pham… - … and Management: 14th …, 2021 - Springer
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 …

MLHS-CGCapNet: A Lightweight Model for Multilingual Hate Speech Detection

A Kousar, J Ahmad, K Ijaz, A Yousef, ZA Shaikh… - IEEE …, 2024 - ieeexplore.ieee.org
The rapid advancement of computer technology and the widespread adoption of online
social media platforms have inadvertently provided fertile ground for individuals with …

[PDF][PDF] Hate Speech Detection in Social Media (Twitter) Using Neural Network.

AZ Miran, HS Yahia - J. Mobile Multimedia, 2023 - researchgate.net
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 …