Support Vector Machines Based on a Semantic Kernel for Text Categorization.
George SiolasFlorence d'Alché-BucPublished in: IJCNN (5) (2000)
Keyphrases
- text categorization
- support vector
- feature selection
- large margin classifiers
- semantic browsing
- kernel function
- linear svm
- kernel methods
- text classification
- multi label
- automated text categorization
- knn
- naive bayes
- classification accuracy
- text documents
- k nearest neighbor
- feature weighting
- logistic regression
- reuters corpus
- semantic information
- multiple kernel learning
- information gain
- support vectors
- feature set
- automatic text categorization
- svm classifier
- support vector machine
- feature space
- text classifiers
- semantic features
- data mining
- natural language
- tf idf
- semantic similarity
- model selection
- hyperplane
- maximum margin
- nearest neighbor
- reinforcement learning
- document frequency
- learning algorithm
- neural network
- machine learning
- unsupervised learning