Sentiment analysis (SA) is a continuing field of research that lies at the intersection of many
fields such as data mining, natural language processing and machine learning. It is …

Opinion-mining or sentiment analysis continues to gain interest in industry and academics.
While there has been significant progress in developing models for sentiment analysis, the …

Different types of pandemics that have appeared from time to time have changed many
aspects of daily life. Some governments encourage their citizens to use certain applications …

Sentiment Analysis (SA) focuses on the study and analysis of peoples' opinions, sentiments
and emotions based on written language. It is currently a very active research area in NLP …

Limited approaches have been applied to Arabic sentiment analysis for a five-point
classification problem. These approaches are based on single task learning with a …

In the realm of the five-category classification endeavor, there has been limited exploration
of applied techniques for classifying Arabic text. These methods have primarily leaned on …

In this paper, we deal with the issue of sentiment analysis on dialectal comments extracted
from social media. These comments concern the Algerian spoken language, written in …

In recent years, models such as the transformer have demonstrated impressive capabilities
in the realm of natural language processing. However, these models are known for their …

Transformer models have emerged as frontrunners in the field of natural language
processing, primarily due to their adept use of self-attention mechanisms to grasp the …

Social media has allowed all individuals, organizations, and businesses to share their
opinions, ideas, and inclinations with others. These opinions might be negative or positive; …