A comprehensive empirical comparison of modern supervised classification and feature selection methods for text categorization.
Yindalon AphinyanaphongsLawrence D. FuZhiguo LiEric R. PeskinEfstratios EfstathiadisConstantin F. AliferisAlexander R. StatnikovPublished in: J. Assoc. Inf. Sci. Technol. (2014)
Keyphrases
- text categorization
- supervised classification
- supervised learning
- text classification
- multi label
- information gain
- feature selection
- unsupervised learning
- knn
- reuters corpus
- text classifiers
- k nearest neighbor
- semi supervised learning
- machine learning
- feature weighting
- text documents
- unlabeled data
- automated text categorization
- naive bayes
- tf idf
- term frequency
- reinforcement learning
- term weighting
- automatic text categorization
- neural network
- computer vision
- multi instance multi label learning
- feature selection for text categorization