4.5 Article

Automated Arabic Text Classification Using Hyperparameter Tuned Hybrid Deep Learning Model

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

Automatic text classification using machine learning and optimization algorithms

R. Janani et al.

Summary: This study aims to automatically classify documents stored on personal computers and proposes a new algorithm for feature selection and text classification. The results demonstrate that the algorithm achieves better accuracy in optimizing features and classifying text documents.

SOFT COMPUTING (2021)

Article Computer Science, Artificial Intelligence

HMATC: Hierarchical multi-label Arabic text classification model using machine learning

Nawal Aljedani et al.

Summary: This study investigates hierarchical multi-label classification in the context of the Arabic language, proposing a hierarchical multi-label Arabic text classification model with a machine learning approach. It examines the impact of feature selection methods and feature set dimensions on classification performance and optimizes the Hierarchy Of Multilabel ClassifiER (HOMER) algorithm. Results show that the proposed model outperforms existing models in terms of computational cost and various evaluation metrics.

EGYPTIAN INFORMATICS JOURNAL (2021)

Article Computer Science, Information Systems

Feature selection method using improved CHI Square on Arabic text classifiers: analysis and application

Hadeel N. Alshaer et al.

Summary: Text classification is crucial in allocating text into predefined groups according to its contents. The study explores the impact of improved CHI Square on the performance of well-known classifiers, showing promising results for the classification of Arabic documents. This method, utilizing more than one technique, provides better classification outcomes with various performance criteria.

MULTIMEDIA TOOLS AND APPLICATIONS (2021)

Article Computer Science, Artificial Intelligence

Hand gesture classification using a novel CNN-crow search algorithm

Thippa Reddy Gadekallu et al.

Summary: The study implements a crow search-based convolutional neural network model for gesture recognition in the HCI domain, achieving impressive results. By converting data using one-hot encoding and selecting optimal hyper-parameters with CSA, the model is optimized to enhance accuracy in classifying hand gestures, ultimately achieving 100% training and testing accuracy.

COMPLEX & INTELLIGENT SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

Predicting catastrophic temperature changes based on past events via a CNN-LSTM regression mechanism

Syed Adnan Yusuf et al.

Summary: This study focuses on using deep learning methods to model the spread of fire in enclosed spaces, primarily for predicting extreme temperature changes. The developed model was evaluated through a series of real-time tests and data analysis, showing relatively low false alarm rates for data from body-mounted sensors and a third-party NIST dataset.

NEURAL COMPUTING & APPLICATIONS (2021)

Article Engineering, Multidisciplinary

Efficient English text classification using selected Machine Learning Techniques

Xiaoyu Luo

Summary: This paper explores the method of text classification and the results of using Support Vector Machines for classification of English text and documents. The research found that the Rocchio classifier performs best when feature set is small, while SVM outperforms when feature set is large.

ALEXANDRIA ENGINEERING JOURNAL (2021)

Article Computer Science, Information Systems

Entropy-Based Watermarking Approach for Sensitive Tamper Detection of Arabic Text

Fahd N. Al-Wesabi

Summary: This paper proposes an intelligent hybrid solution for highly sensitive tampering detection of Arabic text exchanged via the internet, integrating natural language processing, entropy, and watermarking techniques, and validated on multiple standard Arabic datasets. Experimental and simulation results demonstrate the accuracy of tampering detection of the proposed scheme against various tampering attacks, outperforming other baseline methods.

CMC-COMPUTERS MATERIALS & CONTINUA (2021)

Article Computer Science, Information Systems

A Hybrid Intelligent Approach for Content Authentication and Tampering Detection of Arabic Text Transmitted via Internet

Fahd N. Al-Wesabi

Summary: In this paper, a hybrid intelligent text zero-watermarking approach, named SAMMZWA, is proposed by integrating text zero-watermarking and hidden Markov model techniques. The method embeds and detects watermark logically without altering the original text document, and achieves high sensitivity and accuracy in tampering detection for various attacks.

CMC-COMPUTERS MATERIALS & CONTINUA (2021)

Article Automation & Control Systems

Tampering Detection Approach of Arabic-Text Based on Contents Interrelationship

Fahd N. Al-Wesabi et al.

Summary: The paper presents a fragile zero-watermarking approach based on natural language processing for authentication and prevention of misuse of Arabic texts distributed over the Internet. By embedding and identifying watermarks, the method protects and detects text content, improving research efficiency and fragility.

INTELLIGENT AUTOMATION AND SOFT COMPUTING (2021)

Article Computer Science, Artificial Intelligence

Feature selection using binary grey wolf optimizer with elite-based crossover for Arabic text classification

Hamouda Chantar et al.

NEURAL COMPUTING & APPLICATIONS (2020)

Article Computer Science, Information Systems

Arabic text classification using deep learning models

Ashraf Elnagar et al.

INFORMATION PROCESSING & MANAGEMENT (2020)

Article Computer Science, Information Systems

Proposing High-Smart Approach for Content Authentication and Tampering Detection of Arabic Text Transmitted via Internet

Fahd N. Al-Wesabi

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS (2020)

Article Computer Science, Information Systems

Firefly Algorithm based Feature Selection for Arabic Text Classification

Souad Larabi Marie-Sainte et al.

JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES (2020)

Article Computer Science, Information Systems

Feature selection using an improved Chi-square for Arabic text classification

Said Bahassine et al.

JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES (2020)

Article Education & Educational Research

An academic Arabic corpus for plagiarism detection: design, construction and experimentation

Eman Al-Thwaib et al.

INTERNATIONAL JOURNAL OF EDUCATIONAL TECHNOLOGY IN HIGHER EDUCATION (2020)

Article Computer Science, Information Systems

Beyond vector space model for hierarchical Arabic text classification: A Markov chain approach

Fawaz S. Al-Anzi et al.

INFORMATION PROCESSING & MANAGEMENT (2018)

Article Computer Science, Software Engineering

Arabic Text Classification Using Deep Learning Technics

Samir Boukil et al.

INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING (2018)