Multinomial Naive Bayes for Text Categorization Revisited.
Ashraf M. KibriyaEibe FrankBernhard PfahringerGeoffrey HolmesPublished in: Australian Conference on Artificial Intelligence (2004)
Keyphrases
- text categorization
- feature selection
- text classification
- multi label
- knn
- reuters corpus
- feature weighting
- document classification
- automatic text categorization
- information gain
- term frequency
- automated text categorization
- naive bayes
- text classifiers
- semi supervised learning
- document categorization
- text collections
- tf idf
- unlabeled data
- text documents
- semantic browsing
- k nearest neighbor
- feature selections
- feature selection for text categorization
- multi instance multi label learning
- term weighting
- support vector machine
- training set
- support vector