Ternary encoding based feature extraction for binary text classification.
Hakan AltinçayZafer ErenelPublished in: Appl. Intell. (2014)
Keyphrases
- text classification
- feature extraction
- feature selection
- encoding schemes
- bit string
- binary representation
- preprocessing
- bag of words
- text categorization
- naive bayes
- machine learning
- text documents
- n gram
- labeled data
- knn
- text mining
- image classification
- frequency domain
- feature vectors
- encoding scheme
- pattern classification
- text data
- extracted features
- text classifiers
- image processing
- multi label
- wavelet transform
- non binary
- feature space
- binary trees
- gray code
- feature reduction
- data cleaning
- semantic features
- principal component analysis
- sentiment analysis
- texture features
- face recognition
- linear feature extraction
- support vector machine svm