Multiple Concept Learning - A Novel Approach to Feature Selection in Text Categorization.
Son DoanSusumu HoriguchiPublished in: WSTST (2005)
Keyphrases
- text categorization
- concept learning
- feature selection
- automated text categorization
- multi label
- text classification
- knn
- k nearest neighbor
- text filtering
- reuters corpus
- information gain
- semi supervised learning
- naive bayes
- constructive induction
- automatic text categorization
- feature selections
- feature generation
- feature weighting
- text documents
- text representation
- inductive logic programming
- feature construction
- term frequency
- unlabeled data
- text classifiers
- feature reduction
- model selection
- decision trees