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A Survey of Arabic Text Classification Models [PDF]
International Journal of Electrical and Computer Engineering (IJECE), 2018 <p>There is a huge content of Arabic text available over online that requires an organization of these texts. As result, here are many applications of natural languages processing (NLP) that concerns with text organization. One of the is text classification (TC). TC helps to make dealing with unorganized text.
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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
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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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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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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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NADA: New Arabic Dataset for Text Classification [PDF]
International Journal of Advanced Computer Science and Applications, 2018 In the recent years, Arabic Natural Language Processing, including Text summarization, Text simplification, Text Categorization and other Natural Language-related disciplines, are attracting more researchers. Appropriate resources for Arabic Text Categorization are becoming a big necessity for the development of this research.
Nada Alalyani, Souad Larabi
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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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Evaluating Various Tokenizers for Arabic Text Classification
Neural Processing Letters, 2022 The first step in any NLP pipeline is to split the text into individual tokens. The most obvious and straightforward approach is to use words as tokens. However, given a large text corpus, representing all the words is not efficient in terms of vocabulary size.
Zaid Alyafeai +3 more
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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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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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