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 …

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 …

Sarcasm detection plays an important role in natural language processing as it can impact
the performance of many applications, including sentiment analysis, opinion mining, and …

Stemming is one of the most effective techniques, which has been adopted in many
applications, such as machine learning, machine translation, document classification (DC) …

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 …

With the increasing number of online social posts, review comments, and digital
documentations, the Arabic text classification (ATC) task has been hugely required for many …

Digital technologies such as mobile health (mHealth) apps with a variety of features can be
essential tools for controlling pandemics. Therefore, many Arab countries have launched …

Sentiment analysis can help analyse trending topics such as political crises and predict it
before it occurs. Yet, analysing sentiments in Arabic texts has not been explored much in the …

Recently, subjectivity and sentiment analysis of Arabic has received much attention from the
research community. In the past two years, an enormous number of references in the field …