Sentiment analysis is a task of natural language processing that has recently attracted
increasing attention. However, sentiment analysis research has mainly been carried out for …

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 …

Pre-trained language models (LMs) are currently integral to many natural language
processing systems. Although multilingual LMs were also introduced to serve many …

With the development of high computational devices, deep neural networks (DNNs), in
recent years, have gained significant popularity in many Artificial Intelligence (AI) …

Over the last decade Deep learning-based models surpasses classical machine learning
models in a variety of text classification tasks. The primary challenge with text classification …

In this research, state-of-the-art approaches based on supervised machine learning are
presented to address the challenges of aspect-based sentiment analysis (ABSA) of Arabic …

To help individuals or companies make a systematic and more accurate decisions,
sentiment analysis (SA) is used to evaluate the polarity of reviews. In SA, feature selection …

Sentiment analysis aims to predict sentiment polarities (positive, negative or neutral) of a
given piece of text. It lies at the intersection of many fields such as Natural Language …

Deep neural networks have shown good data modelling capabilities when dealing with
challenging and large datasets from a wide range of application areas. Convolutional …

Within the last couple of years, Sentiment Analysis in Arabic has gained a considerable
interest from the research community. In this respect, the objective of this paper is to provide …