14   Artículos

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en línea
Hana Alostad, Shoug Dawiek and Hasan Davulcu    
The Kuwaiti dialect is a particular dialect of Arabic spoken in Kuwait; it differs significantly from standard Arabic and the dialects of neighboring countries in the same region. Few research papers with a focus on the Kuwaiti dialect have been publishe... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Dhiaa A. Musleh, Ibrahim Alkhwaja, Ali Alkhwaja, Mohammed Alghamdi, Hussam Abahussain, Faisal Alfawaz, Nasro Min-Allah and Mamoun Masoud Abdulqader    
YouTube is a popular video-sharing platform that offers a diverse range of content. Assessing the quality of a video without watching it poses a significant challenge, especially considering the recent removal of the dislike count feature on YouTube. Alt... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Amr Mohamed El Koshiry, Entesar Hamed I. Eliwa, Tarek Abd El-Hafeez and Ahmed Omar    
Social media platforms have become the primary means of communication and information sharing, facilitating interactive exchanges among users. Unfortunately, these platforms also witness the dissemination of inappropriate and toxic content, including hat... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Mohammad Daoud    
Questions are crucial expressions in any language. Many Natural Language Processing (NLP) or Natural Language Understanding (NLU) applications, such as question-answering computer systems, automatic chatting apps (chatbots), digital virtual assistants, a... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Talal H. Noor, Abdulqader Almars, Ibrahim Gad, El-Sayed Atlam and Mahmoud Elmezain    
During the COVID-19 epidemic, Twitter has become a vital platform for people to express their impressions and feelings towards the COVID-19 epidemic. There is an unavoidable need to examine various patterns on social media platforms in order to reduce pu... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Driss Namly,Karim Bouzoubaa,Abdellah Yousfi    
Stop words are defined as words that frequently appear in texts without carrying any significant information. For the Arabic language, existing works suffer from two main drawbacks (i) the use of only proprietary corpus and (ii) the reliance of only the ... ver más

 
en línea
Abdullah Y. Muaad, Hanumanthappa Jayappa, Mugahed A. Al-antari and Sungyoung Lee    
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 recogni... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Reyadh Alluhaibi, Tareq Alfraidi, Mohammad A. R. Abdeen and Ahmed Yatimi    
Part of Speech (POS) tagging is one of the most common techniques used in natural language processing (NLP) applications and corpus linguistics. Various POS tagging tools have been developed for Arabic. These taggers differ in several aspects, such as in... ver más
Revista: Information    Formato: Electrónico

 
en línea
Mohammed N. A. Ali, Guanzheng Tan and Aamir Hussain    
Recurrent neural network (RNN) has achieved remarkable success in sequence labeling tasks with memory requirement. RNN can remember previous information of a sequence and can thus be used to solve natural language processing (NLP) tasks. Named entity rec... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Mohammed N. A. Ali, Guanzheng Tan and Aamir Hussain    
Recurrent neural network (RNN) has achieved remarkable success in sequence labeling tasks with memory requirement. RNN can remember previous information of a sequence and can thus be used to solve natural language processing (NLP) tasks. Named entity rec... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Waref Almanaseer, Mohammad Alshraideh and Omar Alkadi    
Deep learning has emerged as a new area of machine learning research. It is an approach that can learn features and hierarchical representation purely from data and has been successfully applied to several fields such as images, sounds, text and motion. ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Hanan Butt, Muhammad Raheel Raza, Muhammad Javed Ramzan, Muhammad Junaid Ali and Muhammad Haris    
According to statistics, there are 422 million speakers of the Arabic language. Islam is the second-largest religion in the world, and its followers constitute approximately 25% of the world?s population. Since the Holy Quran is in Arabic, nearly all Mus... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Dina Oralbekova, Orken Mamyrbayev, Mohamed Othman, Dinara Kassymova and Kuralai Mukhsina    
This article provides a comprehensive survey of contemporary language modeling approaches within the realm of natural language processing (NLP) tasks. This paper conducts an analytical exploration of diverse methodologies employed in the creation of lang... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Abdullah M. Alshanqiti, Sami Albouq, Ahmad B. Alkhodre, Abdallah Namoun and Emad Nabil    
Long unpunctuated texts containing complex linguistic sentences are a stumbling block to processing any low-resource languages. Thus, approaches that attempt to segment lengthy texts with no proper punctuation into simple candidate sentences are a vitall... ver más
Revista: Applied Sciences    Formato: Electrónico

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