Large-scale Multi-label Text Classification - Revisiting Neural Networks.
Jinseok NamJungi KimIryna GurevychJohannes FürnkranzPublished in: CoRR (2013)
Keyphrases
- multi label
- text classification
- neural network
- text categorization
- multi label classification
- multi instance
- learning tasks
- text mining
- image classification
- knn
- graph cuts
- classifier training
- binary classification
- image annotation
- multi label learning
- feature selection
- labeled data
- bag of words
- machine learning
- multiple labels
- hierarchical text categorization
- class labels
- text classifiers
- k nearest neighbor
- naive bayes
- unlabeled data
- image understanding
- image representation
- prior knowledge
- label space
- protein function prediction
- label assignment
- data sets