Exploring the Use of Neural Newtork based Features for Text Readability Classification.
Hou-Chiang TsengBerlin ChenYao-Ting SungPublished in: Int. J. Comput. Linguistics Chin. Lang. Process. (2017)
Keyphrases
- classification accuracy
- feature vectors
- feature extraction
- feature set
- classification method
- classification process
- feature space
- svm classifier
- classification models
- pattern recognition
- high dimensionality
- feature analysis
- supervised machine learning
- additional features
- class labels
- benchmark datasets
- extracted features
- textual features
- support vector
- feature selection
- low level
- eeg signals
- feature representation
- pattern classification
- classification scheme
- neural network
- extracting features
- features extraction
- automatically extracted
- neural classifier
- feature subset
- machine learning
- supervised learning
- text classification
- support vector machine svm
- false positives
- classification algorithm
- text retrieval
- feature selection algorithms
- text classifiers
- discriminative features
- gender classification
- image classification
- text mining
- feature generation
- image features
- feature extraction and classification
- support vector machine