Experiments on Kernel Tree Support Vector Machines for Text Categorization.
Ithipan MethasateThanaruk TheeramunkongPublished in: PAKDD (2007)
Keyphrases
- text categorization
- support vector
- feature selection
- large margin classifiers
- kernel function
- linear svm
- kernel methods
- text classification
- knn
- classification accuracy
- multi label
- multiple kernel learning
- k nearest neighbor
- information gain
- support vector machine
- automated text categorization
- naive bayes
- term frequency
- logistic regression
- semi supervised learning
- maximum margin
- feature space
- svm classifier
- text documents
- automatic text categorization
- hyperplane
- feature weighting
- semantic browsing
- feature selection for text categorization
- linear discriminant analysis
- tf idf
- bag of words
- unlabeled data
- reuters corpus
- feature selections
- information retrieval
- support vectors
- training documents
- feature set
- high dimensional
- distributional clustering
- feature extraction
- neural network