A systematic review of emerging feature selection optimization methods for optimal text classification: the present state and prospective opportunities.
Esther Omolara AbiodunAbdulatif AlabdulatifOludare Isaac AbiodunMoatsum AlawidaAbdullah AlabdulatifRami S. AlkhawaldehPublished in: Neural Comput. Appl. (2021)
Keyphrases
- optimization methods
- text classification
- feature selection
- systematic review
- text categorization
- optimization method
- optimization problems
- feature subset
- bag of words
- simulated annealing
- global convergence
- stochastic methods
- neural network
- efficient optimization
- semantic features
- direct optimization
- naive bayes
- mutual information
- feature set
- machine learning
- dynamic programming
- text mining
- empirical studies
- bayesian network models
- classification accuracy
- feature selection algorithms
- text classifiers
- genetic algorithm
- feature space
- continuous optimization
- trust region
- data mining
- quasi newton
- support vector
- optimization approaches
- data cleaning
- knn
- principal component analysis
- multi label