Comparing Feature Importance and Rule Extraction for Interpretability on Text Data.
Gianluigi LopardoDamien GarreauPublished in: ICPR Workshops (3) (2022)
Keyphrases
- text data
- rule extraction
- feature importance
- text classification
- feature selection
- text mining
- rough sets
- black box
- random forest
- neural network
- document collections
- high dimensional
- fuzzy rules
- text documents
- structured data
- association rules
- rough set theory
- classification rules
- high dimensional data
- relevance feedback
- decision rules
- prediction accuracy
- data mining
- bag of words
- rule sets
- naive bayes
- information retrieval
- machine learning
- knn
- image classification
- information retrieval systems
- feature set
- natural language processing
- image processing