Results 11 to 20 of about 4,786 (237)
Feature selection using an improved Chi-square for Arabic text classification
Journal of King Saud University: Computer and Information Sciences, 2020 In text mining, feature selection (FS) is a common method for reducing the huge number of the space features and improving the accuracy of classification.
Said Bahassine +3 more
doaj +3 more sources
BERT Models for Arabic Text Classification: A Systematic Review
Applied Sciences, 2022 Bidirectional Encoder Representations from Transformers (BERT) has gained increasing attention from researchers and practitioners as it has proven to be an invaluable technique in natural languages processing.
Ali Saleh Alammary
doaj +3 more sources
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
doaj +1 more source
IEEE Access, 2022 With the wide spread of short texts through social media platforms, there has become a growing need for effective methods for short-text classification.
Iyad Alagha
doaj +1 more source
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
doaj +1 more source
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
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
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