Feature extraction based on principal component analysis for text categorization.
Safae LhazmirIsmail El MouddenAbdellatif KobbanePublished in: PEMWN (2017)
Keyphrases
- text categorization
- principal component analysis
- feature extraction
- feature selection
- dimensionality reduction
- linear discriminant analysis
- knn
- face recognition
- text classification
- principal components
- information gain
- multi label
- k nearest neighbor
- feature reduction
- low dimensional
- reuters corpus
- naive bayes
- image classification
- automated text categorization
- feature space
- feature vectors
- support vector machine svm
- feature weighting
- text classifiers
- feature set
- semi supervised learning
- automatic text categorization
- text documents
- term frequency
- document categorization
- term weighting
- active learning
- mutual information
- support vector
- term selection
- data mining
- multi instance multi label learning
- neural network