Hate speech detection in social media: Techniques, recent trends, and future challenges
Abstract The realm of Natural Language Processing and Text Mining has seen a surge in
interest from researchers in hate speech detection, leading to an increase in related studies …
interest from researchers in hate speech detection, leading to an increase in related studies …
A comprehensive review on Arabic offensive language and hate speech detection on social media: methods, challenges and solutions
In recent years, social media has witnessed an exponential growth in promoting healthy
relationships and communication between family, friends, and acquaintances, but it isn't …
relationships and communication between family, friends, and acquaintances, but it isn't …
An enhanced transformer-based approach with meta-ensemble learning for arabic sentiment analysis
Sentiment analysis represents a fundamental task in natural language processing (NLP)
critical for extracting and analyzing emotions and opinions represented in textual data. The …
critical for extracting and analyzing emotions and opinions represented in textual data. The …
Machine learning approaches for sentiment analysis on balanced and unbalanced datasets
AM ElMassry, A Alshamsi… - 2024 IEEE 14th …, 2024 - ieeexplore.ieee.org
Sentiment analysis, sometimes referred to as opinion mining, is essential for understanding
public opinion and attitudes toward various social topics and trends. This study aims to …
public opinion and attitudes toward various social topics and trends. This study aims to …
Deep Learning for Digital Safety: Cyberbullying Detection in Arabic YouTube Content
SS AlMutawa, M Faisal - 2023 Tenth International Conference …, 2023 - ieeexplore.ieee.org
In today's digital age YouTube is a primary platform for content sharing, communication, and
entertainment. Yet, its growth has also seen the emergence of challenges like cyberbullying …
entertainment. Yet, its growth has also seen the emergence of challenges like cyberbullying …
Detecting Destructive Content on Social Media Using Machine Learning Techniques
M Bolatbek, M Sagynay, S Mussiraliyeva… - Available at SSRN … - papers.ssrn.com
This paper addresses the urgent need to detect destructive content, includingreligious
extremism, racism, cyberbullying, and nation-oriented extremismmessages, on social media …
extremism, racism, cyberbullying, and nation-oriented extremismmessages, on social media …