Feature selection using binary grey wolf optimizer with elite-based crossover for Arabic text classification
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Summary
Results and analysis show that SVM-based feature selection technique with the proposed binary GWO optimizer with elite-based crossover scheme has enhanced efficacy in dealing with Arabic text classification problems compared to other peers.
- Type
- article
- Published
- 2019-07-30
- Cited by
- 167
- References
- 113
- OpenAlex
- https://openalex.org/W2964498586
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:199372792
Keywords
Feature selection, Computer science, Support vector machine, Naive Bayes classifier, Artificial intelligence
References
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- New techniques for Arabic document classification
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- Binary grey wolf optimization approaches for feature selection
- Natural Language Processing for Online Applications: Text Retrieval, Extraction & Categorization
- Text Categorization with Support Vector Machines: Learning with Many Relevant Features
- A Survey of Dimension Reduction Techniques
- Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage
- The importance of stop word removal on recall values in text categorization
- Hybrid ACO and TOFA feature selection approach for text classification
- Arabic Text Classification using K-NN and Naive Bayes
- Survey of Improving K-Nearest-Neighbor for Classification
- Term-Weighting Approaches in Automatic Text Retrieval
- Feature sub-set selection metrics for Arabic text classification
- Chi Square Feature Extraction Based Svms Arabic Language Text Categorization System
- Two-stage text feature selection method using fuzzy entropy measure and an t colony optimization
- Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems
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- A new binary grasshopper optimization algorithm for feature selection problem
- Optimal capacitor allocation in distribution networks for minimization of power loss and overall cost using water cycle algorithm and grey wolf optimizer
- Self-Organizing Interval Type-2 Fuzzy Asymmetric CMAC Design to Synchronize Chaotic Satellite Systems Using a Modified Grey Wolf Optimizer
- Using Hybrid Filter-Wrapper Feature Selection With Multi-Objective Improved-Salp Optimization for Crack Severity Recognition
- An improved Dragonfly Algorithm for feature selection
- A modified bond energy algorithm with fuzzy merging and its application to Arabic text document clustering
- A novel binary gaining–sharing knowledge-based optimization algorithm for feature selection
- A Hyper Learning Binary Dragonfly Algorithm for Feature Selection: A COVID-19 Case Study
- An efficient retinal blood vessel segmentation in eye fundus images by using optimized top-hat and homomorphic filtering
- Boosted Whale Optimization Algorithm With Natural Selection Operators for Software Fault Prediction
- Improved Salp Swarm Algorithm with mutation schemes for solving global optimization and engineering problems
- An Evolutionary-based Random Weight Networks with Taguchi Method for Arabic Web Pages Classification
- A Novel Evolutionary-Based Deep Convolutional Neural Network Model for Intelligent Load Forecasting
- Intelligent Detection of False Information in Arabic Tweets Utilizing Hybrid Harris Hawks Based Feature Selection and Machine Learning Models
- CDA-SVM: A Chaotic Dragonfly Enriched Support Vector Machine for Micro array Data sets
- On the binarization of Grey Wolf optimizer: a novel binary optimizer algorithm
- Improved Equilibrium Optimization Algorithm Using Elite Opposition-Based Learning and New Local Search Strategy for Feature Selection in Medical Datasets
- AOM-MPA: Arabic Opinion Mining using Marine Predators Algorithm based Feature Selection
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