Data-driven global-ranking local feature selection methods for text categorization.
Roberto H. W. PinheiroGeorge D. C. CavalcantiTsang Ing RenPublished in: Expert Syst. Appl. (2015)
Keyphrases
- text categorization
- data driven
- text classification
- feature selection
- knn
- feature weighting
- multi label
- text documents
- k nearest neighbor
- information gain
- naive bayes
- ranking algorithm
- semantic browsing
- reuters corpus
- web search
- automated text categorization
- term weighting
- tf idf
- term frequency
- text mining
- automatic text categorization
- semi supervised learning
- nearest neighbor
- machine learning
- text classifiers
- relevance feedback
- document frequency
- unlabeled data
- multi instance multi label learning
- feature selections
- image classification