Social networking platforms have become an essential means for communicating feelings to
the entire world due to rapid expansion in the Internet era. Several people use textual …

Deep learning has emerged as a powerful machine learning technique that learns multiple
layers of representations or features of the data and produces state‐of‐the‐art prediction …

Sentiment analysis is a task of natural language processing that has recently attracted
increasing attention. However, sentiment analysis research has mainly been carried out for …

With the increasing development of Web 2.0, such as social media and online businesses,
the need for perception of opinions, attitudes, and emotions grows rapidly. Sentiment …

In this research, state-of-the-art approaches based on supervised machine learning are
presented to address the challenges of aspect-based sentiment analysis (ABSA) of Arabic …

Recently, the world has witnessed an exponential growth of social networks which have
opened a venue for online users to express and share their opinions in different life aspects …

Arabic is recognised as the 4th most used language of the Internet. Arabic has three main
varieties:(1) classical Arabic (CA),(2) Modern Standard Arabic (MSA),(3) Arabic Dialect (AD) …

This paper proposes a state-of-the-art research for aspect-based sentiment analysis of
Arabic Hotels' reviews using two implementations of long short-term memory (LSTM) neural …

The assessment of examination questions is crucial in educational institutes since
examination is one of the most common methods to evaluate students' achievement in …

Sentiment analysis aims to automatically classify the subject's sentiment (eg, positive,
negative, or neutral) towards a particular aspect such as a topic, product, movie, news, etc …