Seleksi Fitur Menggunakan Hybrid Binary Grey Wolf Optimizer untuk Klasifikasi Hadist Teks Arab
Jurnal Teknologi Informasi dan Ilmu Komputer, 2023 Seleksi fitur pada teks Arab merupakan tugas yang menantang karena sifat Bahasa Arab yang kompleks dan kaya. Dala klasifikasi hadist teks Arab membutuhkan seleksi fitur, karena hadist teks Arab berbeda dengan dokumen teks arab. Hadist teks Arab memiliki
M. Bahrul Subkhi +2 more
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Future Internet, 2022 We propose a novel text classification model, which aims to improve the performance of Arabic text classification using machine learning techniques. One of the effective solutions in Arabic text classification is to find the suitable feature selection ...
Yousif A. Alhaj +7 more
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Recognize The Alphabet of Fingerspelling Using Statistical Classifiers to Facilitate Communication Between Hearing-Impaired Persons and Others [PDF]
Mağallaẗ Kulliyyaẗ Al-Adāb Bi-Qinā, 2022 The predominant method of communication for hearing-impaired and deaf people is still sign language. It is a carefully constructed hand gesture language, and each motion denotes a certain meaning.
Amr Mohmed Soliman +2 more
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Modified Seagull Optimization With Deep Learning for Affect Classification in Arabic Tweets
IEEE Access, 2023 Arabic is one of the world’s most widely spoken languages, and there is a huge amount of digital content available in Arabic. By the categorization of Arabic documents, it becomes easier to search and access specific content of interest.
Badriyya B. Al-Onazi +4 more
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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
Evaluation of Naïve Bayes Classification in Arabic Short Text Classification
Al-Mustansiriyah Journal of Science, 2021 In the last few years, and due to the vast widespread of social media applications, texts have become more important and get more attention. Since texts, in general, are carrying a lot of information that can be extracted and analyzed.
Mohammed Fadhil Ibrahim +2 more
doaj +1 more source
SANAD: Single-label Arabic News Articles Dataset for automatic text categorization
Data in Brief, 2019 Text Classification is one of the most popular Natural Language Processing (NLP) tasks. Text classification (aka categorization) is an active research topic in recent years.
Omar Einea +2 more
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Automated Arabic Long-Tweet Classification Using Transfer Learning with BERT
Applied Sciences, 2023 Social media platforms like Twitter are commonly used by people interested in various activities, interests, and subjects that may cover their everyday activities and plans, as well as their thoughts on religion, technology, or the products they use.
Meshrif Alruily +3 more
doaj +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
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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
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