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 …

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 …

This paper proposes a state-of-the-art research for aspect-based sentiment analysis of
Arabic Hotels' reviews using two implementations of long short-term memory (LSTM) neural …

This research presents an enhanced approach for Aspect-Based Sentiment Analysis (ABSA)
of Hotels' Arabic reviews using supervised machine learning. The proposed approach …

Recently sentiment analysis in Arabic has attracted much attention from researchers. A
modest number of studies have been conducted on Arabic sentiment analysis. However …

Abstract Arabic Sentiment Analysis is an active research area these days. However, the
Arabic language still lacks sufficient language resources to enable the tasks of sentiment …

Sentiment analysis has become one of the most active research areas in natural language
processing, and the Arabic language retains its importance in this field. It is so because of …

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 …

Sentiment analysis is one of the most important fields of natural language processing due to
its wide range of applications and the benefits associated with using it. It is defined as …