Feature selection using binary grey wolf optimizer with elite-based crossover for Arabic text classification.
Hamouda ChantarMajdi M. MafarjaHamad I. AlsawalqahAli Asghar HeidariIbrahim AljarahHossam FarisPublished in: Neural Comput. Appl. (2020)
Keyphrases
- text classification
- feature selection
- text categorization
- bag of words
- text classifiers
- genetic algorithm
- feature engineering
- machine learning
- genetic programming
- feature weighting
- evolutionary algorithm
- naive bayes
- text mining
- text documents
- feature reduction
- labeled data
- arabic language
- sentiment analysis
- n gram
- optimization algorithm
- grey theory
- feature set
- multi class
- tabu search
- query optimization
- data cleaning
- knn
- semantic features
- feature extraction
- differential evolution
- feature space
- rough sets
- mutual information
- supervised feature selection
- unlabeled data
- classification accuracy
- genetic algorithm ga
- neural network
- grey relational analysis
- training data
- selection strategy
- term frequency
- feature subset
- multi label
- dimensionality reduction