Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications.
Geir Thore BergeOle-Christoffer GranmoTor Oddbjørn TveitMorten GoodwinLei JiaoBernt Viggo MatheussenPublished in: CoRR (2018)
Keyphrases
- text categorization
- high accuracy
- feature selection
- classification rules
- knn
- text classification
- multi label
- k nearest neighbor
- automated text categorization
- reuters corpus
- naive bayes
- document categorization
- information gain
- automatic text categorization
- term frequency
- semi supervised learning
- unlabeled data
- feature selection for text categorization
- text classifiers
- feature weighting
- term weighting
- text documents
- association rules
- neural network
- training documents
- data sets
- multi instance multi label learning
- decision trees