Some Effective Techniques for Naive Bayes Text Classification.
Sang-Bum KimKyoung-Soo HanHae-Chang RimSung-Hyon MyaengPublished in: IEEE Trans. Knowl. Data Eng. (2006)
Keyphrases
- text classification
- naive bayes
- naive bayes classifier
- text classifiers
- text categorization
- logistic regression
- feature selection
- decision trees
- uci data sets
- bag of words
- text mining
- machine learning
- classification accuracy
- probability estimation
- text data
- naive bayesian classifier
- knn
- text documents
- test instances
- document classification
- averaged one dependence estimators
- labeled data
- independence assumption
- classification algorithm
- cost sensitive
- base classifiers
- k nearest neighbor
- co training
- unlabeled data
- unsupervised learning
- uci datasets
- bayesian classifiers
- locally weighted
- naive bayes classification
- semantic features
- data sets
- bayesian classifier
- bayesian network classifiers
- data analysis
- low variance
- learning algorithm
- document length normalization