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 …

The fields of machine learning and Web technologies have witnessed significant
development in the last years. This caused a ceaseless and rapid growth in sharing of the …

Sentiment analysis is the computational study of people's opinions, attitudes and emotions
toward entities, individuals, issues, events or topics. A lot of research has been done to …

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 …

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 …

Sentiment analysis (SA), also known as opinion mining, is a growing important research
area. Generally, it helps to automatically determine if a text expresses a positive, negative or …

Sentiment analysis is the process of using natural language processing, computational
linguistics, and other text analysis techniques to identify and extract subjective information in …

Over the last decade, the amount of Arabic content created on websites and social media
has grown significantly. Opinions are shared openly and freely on social media and thus …

In recent years, convolutional neural network (CNN) has attracted considerable attention
since its impressive performance in various applications, such as Arabic sentence …

Opinion-mining or sentiment analysis continues to gain interest in industry and academics.
While there has been significant progress in develo** models for sentiment analysis, the …