Results 21 to 30 of about 6,572 (202)
A Language Model for Arabic Texts Disambiguation using Deep Learning [PDF]
The Egyptian Journal of Language Engineering, 2019 Careful learning and understanding of Arabic content are extremely important because of its continuous growing. There are many types of text learning. It includes summarization, translation, and classification.
Nehad Abdel Rahman +2 more
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Investigating the relevance of Arabic text classification datasets based on supervised learning
Journal of Electronic Science and Technology, 2022 Training and testing different models in the field of text classification mainly depend on the pre-classified text document datasets. Recently, seven datasets have emerged for Arabic text classification, including Single-Label Arabic News Articles ...
Ahmad Hussein Ababneh
doaj +1 more source
Gender identification of egyptian dialect in twitter
Egyptian Informatics Journal, 2019 Despite the widespread of social media among all age groups in Arabic countries, the research directed towards Author Profiling (AP) is still in its early stages.
Shereen Hussein +2 more
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Text representation and classification based on bi-gram alphabet
Journal of King Saud University: Computer and Information Sciences, 2021 In text classification, texts have to be transformed into numeric representations suitable for the learning algorithms. A main problem with the commonly used bag of words method is the high dimensions of vector space, as well as the need for language ...
Fatma Elghannam
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A Superior Arabic Text Categorization Deep Model (SATCDM)
IEEE Access, 2020 Categorizing Arabic text documents is considered an important research topic in the field of Natural Language Processing (NLP) and Machine Learning (ML).
M. Alhawarat, Ahmad O. Aseeri
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Arabic Texts Classification Based on Keywords Extraction Technique [PDF]
Engineering and Technology Journal, 2017 Keyword is useful for a various purposes including labeling, summarizing, indexing, categorization, searching, and clustering. In this paper we will extract keywords from the Arabic text in order to classify it.
S. kadhem, A. Almeer
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Arabic Aspect-Based Sentiment Classification Using Seq2Seq Dialect Normalization and Transformers
Knowledge, 2022 Sentiment analysis is one of the most important fields of natural language processing due to its wide range of applications and the benefits associated with using it.
Mohammed ElAmine Chennafi +3 more
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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
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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
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A Review on Current Challenges and Knowledge Gaps in Artificial Stone Silicosis
American Journal of Industrial Medicine, EarlyView.ABSTRACT Background The global emergence of artificial stone (AS) silicosis represents a critical occupational health challenge. The aim of this systematic review is to provide an overview of the clinical, functional, radiological, and occupational characteristics of patients affected by AS silicosis at the time of diagnosis, and to identify current ...
Paola Mason +8 more
wiley +1 more source