Sentiment analysis (SA), also called Opinion Mining (OM) is the task of extracting and
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …

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 …

In this paper, we explore the effects of language variants, data sizes, and fine-tuning task
types in Arabic pre-trained language models. To do so, we build three pre-trained language …

Abstract We present CAMeL Tools, a collection of open-source tools for Arabic natural
language processing in Python. CAMeL Tools currently provides utilities for pre-processing …

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 …

Neural machine translation (MT) models obtain state-of-the-art performance while
maintaining a simple, end-to-end architecture. However, little is known about what these …

In this paper, we present Farasa, a fast and accurate Arabic segmenter. Our approach is
based on SVM-rank using linear kernels. We measure the performance of the segmenter in …

Religious hate speech in the Arabic Twittersphere is a notable problem that requires
developing automated tools to detect messages that use inflammatory sectarian language 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 …

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) …