Large-Scale Multi-label Text Classification - Revisiting Neural Networks.
Jinseok NamJungi KimEneldo Loza MencíaIryna GurevychJohannes FürnkranzPublished in: ECML/PKDD (2) (2014)
Keyphrases
- multi label
- text classification
- neural network
- text categorization
- multi label classification
- image classification
- multi label learning
- image annotation
- binary classification
- graph cuts
- learning tasks
- text mining
- feature selection
- multi instance
- multiple labels
- classifier training
- text classifiers
- knn
- machine learning
- max margin
- bag of words
- naive bayes
- labeled data
- unlabeled data
- protein function prediction
- cost sensitive
- unsupervised learning
- k nearest neighbor
- support vector
- similarity measure
- label space
- hierarchical text categorization
- automatic text classification