On the effectiveness of feature set augmentation using clusters of word embeddings.
Georgios BalikasIoannis PartalasMassih-Reza AminiPublished in: CoRR (2017)
Keyphrases
- feature set
- feature selection
- word sense disambiguation
- random forest
- feature extraction
- feature vectors
- classification accuracy
- feature representation
- feature space
- clustering algorithm
- co occurrence
- computer vision
- extracted features
- vector space
- texture features
- kernel function
- pattern recognition
- text classification
- low dimensional
- document clustering
- high dimensional
- feature selection algorithms
- training data
- learning algorithm
- individual features