Comparing Feature Importance and Rule Extraction for Interpretability on Text Data.
Gianluigi LopardoDamien GarreauPublished in: CoRR (2022)
Keyphrases
- text data
- rule extraction
- feature importance
- feature selection
- text classification
- text mining
- rough sets
- black box
- rough set theory
- high dimensional
- neural network
- random forest
- fuzzy rules
- structured data
- classification rules
- web pages
- association rules
- rule sets
- text documents
- document collections
- high dimensional data
- relevance feedback
- decision rules
- data sets
- machine learning
- prediction accuracy
- semi supervised
- knn
- naive bayes
- text categorization
- feature space
- support vector
- low dimensional
- data mining
- artificial intelligence