Feature Selection and Interpretable Feature Transformation: A Preliminary Study on Feature Engineering for Classification Algorithms.
Antonio J. Tallón-BallesterosMilan TubaBing XueTakako HashimotoPublished in: IDEAL (2) (2018)
Keyphrases
- feature selection
- feature engineering
- text classification
- feature space
- classification accuracy
- feature extraction
- feature transformation
- machine learning
- pattern recognition
- support vector
- classification algorithm
- support vector machine
- feature set
- model selection
- high dimensionality
- classification rules
- decision trees
- natural language processing
- supervised learning
- learning algorithm
- natural language
- non stationary
- distance metric
- active learning
- dependency parsing
- data sets