Intent Arabic text categorisation based on different machine learning and term frequency
IET Networks, EarlyView., 2022 Abstract The complexity of Internet network configurations has made managing networks a complicated undertaking. Intent‐Based Networking (IBN) is a potential solution to this issue. In contrast to conventional networks, where a concrete description of the settings typically conveys a network administrator's goal kept on each device, an administrator's ...
Mohammad Fadhil Mahdi +1 more
wiley +1 more source
AraXLNet: pre-trained language model for sentiment analysis of Arabic
Journal of Big Data, 2022 The Arabic language is a complex language with little resources; therefore, its limitations create a challenge to produce accurate text classification tasks such as sentiment analysis.
Alhanouf Alduailej, Abdulrahman Alothaim
doaj +1 more source
Transformer Text Classification Model for Arabic Dialects That Utilizes Inductive Transfer
Mathematics, 2023 In the realm of the five-category classification endeavor, there has been limited exploration of applied techniques for classifying Arabic text. These methods have primarily leaned on single-task learning, incorporating manually crafted features that ...
Laith H. Baniata, Sangwoo Kang
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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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