A new feature selection method for text categorization based on information gain and particle swarm optimization.
Ferruh YigitÖmer Kaan BaykanPublished in: CCIS (2014)
Keyphrases
- text categorization
- information gain
- feature selection
- document frequency
- chi squared
- feature selection for text categorization
- mutual information
- feature weighting
- text classification
- knn
- text classifiers
- multi label
- particle swarm optimization
- classification accuracy
- feature subset
- decision trees
- automated text categorization
- tf idf
- feature set
- semi supervised learning
- support vector machine
- correlation coefficient
- feature selections
- naive bayes
- term selection
- term frequency
- similarity measure
- term weighting
- neural network
- unsupervised learning
- knowledge discovery
- machine learning