Results 31 to 40 of about 5,324 (240)

Leveraging Arabic sentiment classification using an enhanced CNN-LSTM approach and effective Arabic text preparation

Journal of King Saud University: Computer and Information Sciences, 2022
The high variety in the forms of the Arabic words creates significant complexity related challenges in Natural Language Processing (NLP) tasks for Arabic text.
Abdulaziz M. Alayba, Vasile Palade
doaj   +1 more source

Intelligent handwritten recognition using hybrid CNN architectures based-SVM classifier with dropout

Journal of King Saud University: Computer and Information Sciences, 2022
Text recognition in Arabic handwritten scripts is an active research field. These recognition systems face numerous challenges, including enormous open data-bases, infinite variation in people’s handwriting, and freestyle.
Amani Ali Ahmed Ali, Suresha Mallaiah
doaj   +1 more source

A Closer Look at Arabic Text Classification [PDF]

International Journal of Advanced Computer Science and Applications, 2019
The world has witnessed an information explosion in the past two decades. Electronic devices are now available in many varieties such as PCs, Laptops, book readers, mobile devices and with relatively affordable prices. This and the ubiquitous use of software applications such as social media and cloud applications, and the increasing trend towards ...
Mohammad A R Abdeen, Sami AlBouq, Ahmed Elmahalawy, Sara Shehata   +3 more
openaire   +1 more source

Vernacular Futurism: How Persian Language Users Imagine AI

AI &Innovation, EarlyView.
ABSTRACT Public discourse about artificial intelligence increasingly unfolds through compressed forecasts, moral warnings, and everyday speculation circulating at platform speed. This study examines how Persian language users on X construct and contest AI futures, analyzing a corpus of 4741 posts collected between January 2023 and December 2025, with ...
Arthur Asa Berger, Ehsan Shahghasemi
wiley   +1 more source

A Hybrid Attention-Based Transformer Model for Arabic News Classification Using Text Embedding and Deep Learning

IEEE Access
Efficient classification of Arabic news items has become more crucial for efficient information management and analysis due to the fast growth of online news material.
Md. Mithun Hossain, Md. Shakil Hossain, Mejdl Safran, Sultan Alfarhood, Meshal Alfarhood, M. F. Mridha   +5 more
doaj   +1 more source

Diagnosing the system: Mental health, necropolitical uncare, and the abolition of migration detention

American Journal of Community Psychology, EarlyView.
Abstract This article examines the psychological effects of migration detention in the European Union's Closed Controlled Access Center (CCAC) on Samos through an ecological lens. It explores a double normalization of suffering: the brutalization of necropolitical migration governance and the simultaneous understanding of resulting distress as an ...
Julia Manek
wiley   +1 more source

Rational Kernels for Arabic Stemming and Text Classification

CoRR, 2015
In this paper, we address the problems of Arabic Text Classification and stemming using Transducers and Rational Kernels. We introduce a new stemming technique based on the use of Arabic patterns (Pattern Based Stemmer). Patterns are modelled using transducers and stemming is done without depending on any dictionary.
Attia Nehar, Djelloul Ziadi, Hadda Cherroun   +2 more
openaire   +2 more sources

Translation and Cross‐Cultural Adaptation of the Chronic Rhinosinusitis Control Test for Global Use

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Introduction The Chronic Rhinosinusitis Control Test (CRCT) is a patient‐reported outcome measure (PROM) written in English that is psychometrically validated to measure chronic rhinosinusitis control. Because the availability of translated PROMs is a driver of data equity—collection of data that is fair and generally representative—our ...
Hye K. Pae, Detong Xia, Hanzhong Sun, Yudi Chen, Kwangoh Yi, Minjeong Song, Eriko Sato, Ali R. Abasi, Jody Ballah, Anna Babarczy, Raymond Bertram, Agnieszka Biernacka, Mable Chan, Teresa Civera, Irina Dubinina, Doğu Erdener, María Isabel Maldonado García, Ali Garib, Tuomo Häikiö, Fuk‐chuen HO, Li‐Yu Hung, R. Malatesha Joshi, Oksana Kanerva, Kiranpreet Kaur Baath, Björn Köhnlein, Dalibor Kučera, Paula Luegi, Yustinus Calvin Gai Mali, Sivan Medina, Stefan Milosavljević, Amna Mirza, Mohamed Y. Mwamzandi, Fatemeh Nami, Anabella‐Gloria Niculescu‐Gorpin, Portia Padilla, Georgia Panayiotou, Manuel Perea, Luciano Perondi, Hiển Phạm, Rasmus Puggaard‐Rode, Anurag Rimzhim, Sreeparna Sarkar, David L. Share, Gláucia V. Silva, Antônio R. M. Simões, Charlotte Stormbom, Titima Suthiwan, Katsuo Tamaoka, Mila Tasseva‐Kurktchieva, Paweł Urbanik, An Van, Katie M. Phillips, Ahmad R. Sedaghat   +52 more
wiley   +1 more source

PAAD: POLITICAL ARABIC ARTICLES DATASET FOR AUTOMATIC TEXT CATEGORIZATION

Iraqi Journal for Computers and Informatics, 2020
Now day’s text Classification and Sentiment analysis is considered as one of the popular Natural Language Processing (NLP) tasks. This kind of technique plays significant role in human activities and has impact on the daily behaviours.
Dhafar Hamed Abd, Ahmed T. Sadiq, Ayad R. Abbas   +2 more
doaj   +1 more source

Revisiting paravertebral muscles in European rabbits (Oryctolagus cuniculus) and European brown hares (Lepus europaeus) (Leporidae; Lagomorpha)

The Anatomical Record, EarlyView.
Abstract Domesticated European rabbits (Oryctolagus cuniculus) have long been chosen as laboratory model organisms. Despite this, there has been no definitive study of the vertebral musculature of wild rabbits. Relevant descriptions of well‐studied veterinary model mammals (such as dogs) are generally applicable, but not appropriate for a species ...
Nuttakorn Taewcharoen, Emma Sherratt, Philip Stott, Rachel Norris   +3 more
wiley   +1 more source