Analyzing and understanding the sentiments of social media documents on Twitter,
Facebook, and Instagram has become a very important task at present. Analyzing the …

Reliance on social networks has become an integral part of modern daily activities. Social
networks are crowded with vast numbers of comments, opinions, and beliefs about different …

Introduction Sentiment analysis has become a crucial area of research in natural language
processing in recent years. The study aims to compare the performance of various sentiment …

Social media include diverse interaction metrics related to user popularity, the most evident
example being the number of user followers. The latter has raised concerns about the …

This study is an in-depth exploration of the nascent field of Natural Language Processing
(NLP) and generative Artificial Intelligence (AI), and it concentrates on the vital task of …

Automating sentiment analysis in texts has become an important task in recent years due to
the exponential growth of user-generated content, including comments and opinions on …

Document similarity recognition is one of the most important problems in natural language
processing. This paper proposes a plagiarism comparison mechanism called JCF. Initially …

The research aimed to extract semantic fields from Arabic online news and advance Natural
Language Processing (NLP) applications in understanding and managing news information …

In multi-label emotion classification, particularly for low-resource languages like Arabic, the
challenges of class imbalance and label correlation hinder model performance, especially in …

A key element of many Natural Language Processing (NLP) applications is Named Entity
Recognition (NER). It involves categorizing and identifying text into separate categories …