Training Temporal and NLP Features via Extremely Randomised Trees for Educational Level Classification.
Tahani AljohaniAlexandra I. CristeaPublished in: ITS (2021)
Keyphrases
- feature vectors
- feature set
- classification accuracy
- feature extraction
- decision trees
- classification method
- feature space
- classification models
- classification process
- classification performances
- benchmark datasets
- training set
- extracted features
- training phase
- training samples
- extracting features
- temporal information
- feature values
- pattern recognition
- information extraction
- linear svm
- svm classifier
- class labels
- support vector
- multi layer perceptron
- spatio temporal
- image classification
- supervised learning
- training examples
- feature analysis
- natural language processing
- feature selection algorithms
- eeg signals
- svm classification
- discriminative classifiers
- feature representation
- machine learning
- text categorization
- text classification
- support vector machine
- low level
- training data
- training process
- feature subset
- tree structure
- co occurrence
- educational institutions
- e learning
- feature selection
- training program
- neural network
- sufficient training data