Results 1 to 10 of about 4,786 (237)

ArCAR: A Novel Deep Learning Computer-Aided Recognition for Character-Level Arabic Text Representation and Recognition

Algorithms, 2021
Arabic text classification is a process to simultaneously categorize the different contextual Arabic contents into a proper category. In this paper, a novel deep learning Arabic text computer-aided recognition (ArCAR) is proposed to represent and ...
Abdullah Y. Muaad, Hanumanthappa Jayappa, Mugahed A. Al-antari, Sungyoung Lee   +3 more
doaj   +3 more sources

Data augmentation for Arabic text classification: a review of current methods, challenges and prospective directions [PDF]

PeerJ Computer Science
The effectiveness of data augmentation techniques, i.e., methods for artificially creating new data, has been demonstrated in many domains, from images to textual data.
Samia F. Abdhood, Nazlia Omar, Sabrina Tiun   +2 more
doaj   +3 more sources

Arabic text classification using Polynomial Networks

Journal of King Saud University: Computer and Information Sciences, 2015
In this paper, an Arabic statistical learning-based text classification system has been developed using Polynomial Neural Networks. Polynomial Networks have been recently applied to English text classification, but they were never used for Arabic text ...
Mayy M. Al-Tahrawi, Sumaya N. Al-Khatib
doaj   +2 more sources

Arabic Text Classification Using Convolutional Neural Network and Genetic Algorithms

IEEE Access, 2021
Arabic documents are massively rising due to numerous contents utilized in websites, social media, and news articles. The classification of such documents in labelled categories is a significant and vital task that deserves more attention.
Deem Alsaleh, Souad Larabi-Marie-Sainte
doaj   +3 more sources

Integrating CNN and transformer architectures for superior Arabic printed and handwriting characters classification [PDF]

Scientific Reports
Optical Character Recognition (OCR) systems play a crucial role in converting printed Arabic text into digital formats, enabling various applications such as education and digital archiving.
Mohammed R. Al-Maamari, Rakesh Ramteke, Aymen M. Al-Hejri, Sultan S. Alshamrani   +3 more
doaj   +2 more sources

A study of the performance of embedding methods for Arabic short-text sentiment analysis using deep learning approaches

Journal of King Saud University: Computer and Information Sciences, 2022
Sentiment analysis aims to classify a text according to sentimental polarities of people’s opinions, such as positive, negative, or neutral. While most of the studies focus on eliciting features from English text, the research on Arabic is limited due to
Ali Alwehaibi, Marwan Bikdash, Mohammad Albogmi, Kaushik Roy   +3 more
doaj   +1 more source

Seleksi Fitur Menggunakan Hybrid Binary Grey Wolf Optimizer untuk Klasifikasi Hadist Teks Arab

Jurnal Teknologi Informasi dan Ilmu Komputer, 2023
Seleksi fitur pada teks Arab merupakan tugas yang menantang karena sifat Bahasa Arab yang kompleks dan kaya. Dala klasifikasi hadist teks Arab membutuhkan seleksi fitur, karena hadist teks Arab berbeda dengan dokumen  teks arab. Hadist teks Arab memiliki
M. Bahrul Subkhi, Chastine Fatichah, Agus Zaenal Arifin   +2 more
doaj   +1 more source

A Novel Text Classification Technique Using Improved Particle Swarm Optimization: A Case Study of Arabic Language

Future Internet, 2022
We propose a novel text classification model, which aims to improve the performance of Arabic text classification using machine learning techniques. One of the effective solutions in Arabic text classification is to find the suitable feature selection ...
Yousif A. Alhaj, Abdelghani Dahou, Mohammed A. A. Al-qaness, Laith Abualigah, Aaqif Afzaal Abbasi, Nasser Ahmed Obad Almaweri, Mohamed Abd Elaziz, Robertas  Damaševičius   +7 more
doaj   +1 more source

Firefly Algorithm based Feature Selection for Arabic Text Classification

Journal of King Saud University: Computer and Information Sciences, 2020
Due to the large number of documents available in the internet, emails and digital libraries, document classification is becoming a crucial task extremely required.
Souad Larabi Marie-Sainte, Nada Alalyani
doaj   +1 more source

An Optimized Arabic Multilabel Text Classification Approach Using Genetic Algorithm and Ensemble Learning

Applied Sciences, 2023
Multilabel classification of Arabic text is an important task for understanding and analyzing social media content. It can enable the categorization and monitoring of social media posts, the detection of important events, the identification of trending ...
Samah M. Alzanin, Abdu Gumaei, Md Azimul Haque, Abdullah Y. Muaad   +3 more
doaj   +1 more source