Bidirectional Encoder Representations from Transformers (BERT) has gained increasing
attention from researchers and practitioners as it has proven to be an invaluable technique …

We are witnessing an increasing proliferation of hate speech on social media targeting
individuals for their protected characteristics. Our study aims to devise an effective Arabic …

Hate speech is a major issue in social networks due to the high volume of data generated
daily. Recent works demonstrate the usefulness of machine learning (ML) in dealing with the …

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 …

ABSTRACT Improving Offensive and Hate Speech (OHS) classifiers' performances requires
a large, confidently labeled textual training dataset. Our study devises a semi-supervised …

One key for improving hate speech detection performance is to have a textual training
corpus that is vast and confidently labeled. This paper develops a semi-supervised learning …

Today, hate speech classification from Arabic tweets has gained significant interest among
global researchers. Different techniques and systems are harnessed to overcome this …

Sentiment Analysis is the process of getting people's ideas on what they think or feel about a
particular issue or product or a person and classifying the information expressed about an …

Today, the classification of hate speech in Arabic tweets has garnered significant attention
from scholars worldwide. Although numerous classification approaches proposed in …

Hate Speech Detection in Arabic presents a multifaceted challenge due to the broad and
diverse linguistic terrain. With its multiple dialects and rich cultural subtleties, Arabic requires …