|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|