Improving Explainability and Accuracy through Feature Engineering: A Taxonomy of Features in NLP-based Machine Learning.
Thiemo WambsganssChristian EngelHansjörg FrommPublished in: ICIS (2021)
Keyphrases
- feature engineering
- natural language processing
- machine learning
- dependency parsing
- text classification
- speech processing
- information extraction
- labeled data
- classification accuracy
- natural language
- knowledge representation
- hidden markov models
- supervised learning
- active learning
- text mining
- language processing
- feature selection
- computer vision
- artificial intelligence