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 …

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 …

Despite extensive investigations of the Depression Anxiety Stress Scales-21 (DASS-21)
since its development in 1995, its factor structure and other psychometric properties still …

Sentiment analysis has gained increasing importance with the massive increase of online
content. Although several studies have been conducted for western languages, not much …

Sentiment analysis is a highly subjective and challenging task. Its complexity further
increases when applied to the Arabic language, mainly because of the large variety of …

Due to the significant use of Arabic language in social media networks, the demand for
Arabic sentiment analysis has increased rapidly. Although, numerous sentiment analysis …

Nowadays, sentiment analysis research is widely applied in a variety of applications such as
marketing and politics. Several studies on the Arabic sentiment analysis have been carried …

In this study, we investigate various deep learning models based on convolutional neural
networks (CNNs) and Long Short Term Memory (LSTM) recurrent neural networks for …

Cloud computing is a revolutionary technology for businesses, governments, and citizens.
Some examples of Software-as-a-Services (SaaS) of cloud computing are banking apps, e …

Purpose This paper aims to propose an approach for hate speech detection against
politicians in Arabic community on social media (eg Youtube). In the literature, similar works …