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: IEEE Access (2019)
Keyphrases
- training documents
- text categorization
- high accuracy
- text classification
- text classifiers
- feature selection
- classification rules
- text documents
- information gain
- knn
- k nearest neighbor
- document categorization
- feature weighting
- automated text categorization
- multi label
- automatic text categorization
- reuters corpus
- vector space
- neural network
- naive bayes
- term selection
- association rules
- training data
- semantic browsing
- term frequency
- unlabeled data
- feature selection for text categorization
- semi supervised learning
- classification accuracy
- transductive support vector machine