With the recently grown attention from different research communities for opinion mining,
there is an evolving body of work on Arabic Sentiment Analysis (ASA). This paper introduces …

Sentiment analysis (SA) techniques are applied to assess aspects of language that are used
to express feelings, evaluations and opinions in areas such as customer sentiment …

It is a challenging task to identify sentiment polarity in Arabic journals comments. Algerian
daily newspapers interest more and more people in Algeria, and due to this fact they interact …

Stemming is an important task in natural language processing that involves reducing a word
to its root form, or stem. In many cases, stemming can significantly improve the accuracy and …

Arabic text sentiment analysis suffers from low accuracy due to Arabic-specific challenges
(eg, limited resources, morphological complexity, and dialects) and general linguistic issues …

The COVID-19 pandemic has spread across the world and has become an international
public health emergency. The outbreak of COVID-19 has focused attention on the use of …

This paper investigates sentiment analysis in Arabic tweets that have the presence of
Jordanian dialect. A new dataset was collected during the coronavirus disease (COVID-19) …

The need to study and analyze public opinions about the Corona virus (COVID-19)
pandemic or about those preventive measures that are imposed, led to the emergence of …

Sarcasm is a form of communication that is intended to mock or harass someone by using
words with the opposite of their literal meaning. It has an implied negative sentiment, but a …

The purpose of this study was to explore and understand how small businesses are
interpreting gathered sentiment analysis data with accuracy and speed. The general …