Boosting algorithms with topic modeling for multi-label text categorization: A comparative empirical study.
Bassam Al-SalemiMohd Juzaiddin Ab AzizShahrul Azman NoahPublished in: J. Inf. Sci. (2015)
Keyphrases
- multi label
- text categorization
- boosting algorithms
- binary classification
- topic models
- text documents
- cost sensitive
- text classification
- feature selection
- knn
- multi class
- image annotation
- text mining
- k nearest neighbor
- naive bayes
- semi supervised learning
- information retrieval
- co occurrence
- text classifiers
- base classifiers
- probabilistic model
- binary classifiers
- generative model
- bag of words
- model selection
- training data
- generalization error