Learning to Classify Text from Labeled and Unlabeled Documents.
Kamal NigamAndrew McCallumSebastian ThrunTom M. MitchellPublished in: AAAI/IAAI (1998)
Keyphrases
- unlabeled documents
- learning to classify
- text classification
- text classifiers
- text documents
- labeled documents
- text data
- text mining
- text categorization
- bag of words
- document classification
- training corpus
- feature selection
- machine learning
- naive bayes
- training documents
- knn
- textual data
- labeled data
- textual information
- knowledge discovery
- semantic features
- labeled examples
- k nearest neighbor
- unlabeled data
- semi supervised learning
- naive bayes classifier
- information retrieval
- neural network
- reinforcement learning
- training data
- query expansion
- nearest neighbor