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 …

Social media is an indispensable necessity for modern life. As a result, it is full of people's
opinions, emotions, ideas, and attitudes, whether positive or negative. This abundance of …

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) of Arabic tweets is a complex task due to the rich morphology of the
Arabic language and the informal nature of language on Twitter. Previous research on the …

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 …

The rapid development of tools for communication such as social networks, tweeting and
Whatsapp has generated a large mass of important textual data. Also, the COVID-19 …

Over the past few years, much work has been done to develop machine learning models
that perform Arabic sentiment analysis (ASA) tasks at various levels and in different …

Sentiment analysis is the process of examining people's opinions and emotions towards
goods, services, organizations, individuals, and other things, through the use of textual data …

The complexities and tangles of Arabic dialect in orthography and morphology typically
make the sentimental analysis quite challenging. Moreover, most of the classification …