Ranking and selecting terms for text categorization via SVM discriminate boundary.
Tien-Fang KuoYasutoshi YajimaPublished in: GrC (2005)
Keyphrases
- text categorization
- knn
- feature selection
- text classifiers
- k nearest neighbor
- term frequency
- text classification
- text collections
- term selection
- multi label
- support vector machine svm
- linear svm
- reuters corpus
- distributional clustering
- term weighting
- feature weighting
- automated text categorization
- naive bayes
- information gain
- text documents
- document frequency
- support vector
- feature selection for text categorization
- support vector machine
- tf idf
- automatic text categorization
- nearest neighbor
- feature reduction
- semi supervised learning
- feature selections
- ranked list
- learning to rank
- ranking algorithm
- information extraction
- data points