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 …

User-aware multilingual abusive content detection in social media

MZU Rehman, S Mehta, K Singh, K Kaushik… - Information Processing & …, 2023 - Elsevier
Despite growing efforts to halt distasteful content on social media, multilingualism has added
a new dimension to this problem. The scarcity of resources makes the challenge even …

Inculcating context for emoji powered bengali hate speech detection using extended fuzzy svm and text embedding models

S Ghosal, A Jain, DK Tayal, VG Menon… - ACM transactions on …, 2023 - dl.acm.org
The massive growth of social webs offer opportunities to communicate with diverse
languages, unstructured text, informal posts, misspelled contents and emojis. Social media …

Offensive Language Detection on Online Social Networks using Hybrid Deep Learning Architecture.

G Kazbekova, Z Ismagulova… - International …, 2023 - search.ebscohost.com
In the digital era, online social networks (OSNs) have revolutionized communication,
creating spaces for vibrant public discourse. However, these platforms also harbor offensive …

[PDF][PDF] Overview of Data Augmentation Techniques in Time Series Analysis.

I ANNAKI, M RAHMOUNE… - International Journal of …, 2024 - researchgate.net
Time series data analysis is vital in numerous fields, driven by advancements in deep
learning and machine learning. This paper presents a comprehensive overview of data …

Offensive Language Detection on Social Media using Machine Learning.

R Abdrakhmanov, SM Kenesbayev… - International …, 2024 - search.ebscohost.com
This research paper addresses the critical issue of cyberbullying detection within the realm
of social networks, employing a comprehensive examination of various machine learning …

User-aware multilingual abusive content detection in social media

M Zia Ur Rehman, S Mehta, K Singh, K Kaushik… - 2023 - dl.acm.org
Despite growing efforts to halt distasteful content on social media, multilingualism has added
a new dimension to this problem. The scarcity of resources makes the challenge even …