Text classification pertains to the automated procedure of assigning predefined labels or
categories to textual data. A comprehensive review of the existing literature on Arabic text …

Complex documents have text, figures, tables, and other elements. The classification of
scanned copies of different categories of complex documents like memos, newspapers …

Text categorization (TC) is one of the most useful automatic tools in today's world to organize
huge text data automatically. It is widely used by practitioners to classify texts automatically …

Arabic Natural Language Processing (NLP) presents unique challenges due to the
complexity of the language, including variations in dialects, rich morphology, and context …

abstract This research aims to detect different types of Arabic offensive language in twitter. It
uses a multiclass classification system in which each tweet is categorized into one or more …

Abstract Arabic Dialect Identification (ADI) is a challenging task in natural language
processing applications due to its diversity and regional variations. Despite previous efforts …

Bidirectional encoder representation from transformer (BERT) models are increasingly being
employed in the development of natural language processing (NLP) systems, predominantly …

Leveraging Twitter data for crisis management necessitates the accurate, fine-grained
geolocation of tweets, which unfortunately is often lacking, with only 1–3% of tweets being …

Social media plays a pivotal role in the daily activities of individuals, serving as a medium for
the dissemination of events, activities, and information through various forms of posts …

The task of extracting sentiment from text has been widely studied in the field of natural
language processing. However, little work has been conducted specifically on the Arabic …