A Machine Learning Approach for Subjectivity Classification Based on Positional and Discourse Features.
José M. ChenloDavid E. LosadaPublished in: IRFC (2013)
Keyphrases
- feature vectors
- feature set
- feature extraction
- classification accuracy
- classification method
- feature space
- classification models
- svm classifier
- extracting features
- feature analysis
- support vector machine
- image classification
- classification process
- pattern recognition
- extracted features
- low level
- feature selection algorithms
- feature construction
- image features
- feature values
- supervised learning
- classification scheme
- class labels
- feature selection
- features extraction
- pattern classification
- multiple features
- feature representation
- machine learning
- feature reduction
- feature subset
- benchmark datasets
- text classification
- data sets
- decision trees
- support vector
- category labels
- gabor filters
- confidence scores
- feature extraction and classification
- feature weights
- learning algorithm
- irrelevant features
- gender classification
- preprocessing
- bayesian classifier
- discriminative features
- training set
- active learning
- principal component analysis
- co occurrence