Inductive Learning Algorithms and Representations for Text Categorization.
Susan T. DumaisJohn C. PlattDavid HechermanMehran SahamiPublished in: CIKM (1998)
Keyphrases
- feature space
- text categorization
- inductive learning algorithms
- feature selection
- information gain
- decision trees
- knn
- text classification
- learning algorithm
- automated text categorization
- document classification
- multi label
- feature weighting
- automatic text categorization
- semi supervised learning
- k nearest neighbor
- feature extraction
- text classifiers
- naive bayes
- text documents
- reuters corpus
- document categorization
- support vector machine
- text collections
- unlabeled data
- data points
- term weighting
- training documents
- information extraction
- language model
- feature selections
- semantic browsing
- feature selection for text categorization