Advancement in information technology produced massive textual material that is available
online. Text classification algorithms are at the core of many natural language processing …

Advancement in information technology has resulted in massive textual material that is open
to appropriation. Due to researchers' misconduct, a plethora of plagiarism detection (PD) …

This article reports on designing and implementing a multiclass sentiment classification
approach to handle the imbalanced class distribution of Arabic documents. The proposed …

Automatic aggregation of similar words into semantically related groups (or clusters) is of
interest to many natural language processing (NLP) applications. Extracting semantically …

Recently, the automatic process of Arabic opinion mining (AOM) attracts the intention of
scientific researchers, especially with the real challenges of the arabic language as dialectal …

Arabic is a widely-spoken language with a long and rich history, but existing corpora and
language technology focus mostly on modern Arabic and its varieties. Therefore, studying …

Modelling the distributional semantics of such a morphologically rich language as Arabic
needs to take into account its introflexive, fusional, and inflectional nature attributes that …

We present a bilingual parallel corpus of Islamic Hadith, which is the set of narratives
reporting different aspects of the prophet Muhammad's life. The Hadith collection is extracted …

Using a mixed-method approach, this study examines the pragmatic functions of the
discourse marker walak and its variants in Spoken Jordanian Arabic. It also explores the …

Social media has played a significant role in marketing and advertising. Monitoring the
attitude of customers and analyzing their written sentiments to evaluate their opinions toward …