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 …

Comparing Arabic to other languages, Arabic lacks large corpora for Natural Language
Processing (Assiri, Emam & Al-Dossari, 2018; Gamal et al., 2019). A number of scholars …

With the rising growth of the telecommunication industry, the customer churn problem has
grown in significance as well. One of the most critical challenges in the data and voice …

Problem Sentiment Analysis (SA) automates the classification of the sentiment of people's
attitudes, feelings or reviews employing natural language processing (NLP) and …

Hate Speech Detection in Arabic presents a multifaceted challenge due to the broad and
diverse linguistic terrain. With its multiple dialects and rich cultural subtleties, Arabic requires …

Sentiment analysis (SA) has been, and is still, a thriving research area. However, the task of
Arabic sentiment analysis (ASA) is still underrepresented in the body of research. This study …

Recommender systems nowadays are playing an important role in the delivery of services
and information to users. Sentiment analysis (also known as opinion mining) is the process …

The flexibility in mobile communications allows customers to quickly switch from one service
provider to another, making customer churn one of the most critical challenges for the data …

In the last recent years, the customer reviews has attracted an increasing interest by
researchers and companies thanks to the advancement in E-commerce and business …

Recommender systems nowadays are playing an important role in the delivery of services
and information to users. Sentiment analysis (also known as opinion mining) is the process …