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Journal of King Saud University: Computer and Information Sciences, 2022 Sentiment analysis aims to classify a text according to sentimental polarities of people’s opinions, such as positive, negative, or neutral. While most of the studies focus on eliciting features from English text, the research on Arabic is limited due to
Ali Alwehaibi +3 more
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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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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
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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.
openaire +3 more sources
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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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
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