Boosting Naïve Bayes text classification using uncertainty-based selective sampling.
Han-Joon KimJe-Uk KimYoung-Gook RaPublished in: Neurocomputing (2005)
Keyphrases
- selective sampling
- text classification
- feature selection
- bayes classifiers
- bayes classifier
- tree augmented
- naive bayes classifier
- bayesian classifiers
- naive bayes
- text categorization
- active learning
- multi class
- labeled data
- bayesian network classifiers
- support vector machine
- machine learning
- unlabeled data
- random sampling
- feature set
- unsupervised learning
- knn
- bayesian classifier
- support vector
- unlabeled examples
- bayesian networks
- classification models
- classification accuracy
- logistic regression
- base classifiers
- text mining
- feature extraction
- feature space
- learning algorithm
- information extraction
- lower bound
- semi supervised
- information retrieval
- image classification