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 …

Facing fast-increasing electronic documents in the Digital Media Age, the need to extract
textual features of online texts for better communication is growing. Sentiment 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 …

This paper introduces ASTD, an Arabic social sentiment analysis dataset gathered from
Twitter. It consists of about 10,000 tweets which are classified as objective, subjective …

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 is one of the main challenges for sentiment analysis systems. Its complexity comes
from the expression of opinion using implicit indirect phrasing. In this paper, we present …

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

The recent advances in deep learning (DL) have caused breakthroughs in many fields such
as computer vision, natural language processing (NLP) and speech processing. Many DL …

With the development and the advancement of social networks, forums, blogs and online
sales, a growing number of Arabs are expressing their opinions on the web. In this paper, a …