On the Effectiveness of Feature Set Augmentation Using Clusters of Word Embeddings.
Georgios BalikasIoannis PartalasPublished in: SwissText (2018)
Keyphrases
- feature set
- feature selection
- feature extraction
- random forest
- feature space
- classification accuracy
- feature vectors
- word sense disambiguation
- clustering algorithm
- low dimensional
- extracted features
- texture features
- co occurrence
- selected features
- structural features
- feature representation
- feature extraction and selection
- feature subset
- vector space
- n gram
- dimensionality reduction
- image classification
- semantic features
- high dimensional
- individual features
- machine learning