Ensemble application of convolutional and recurrent neural networks for multi-label text categorization.
Guibin ChenDeheng YeZhenchang XingJieshan ChenErik CambriaPublished in: IJCNN (2017)
Keyphrases
- text categorization
- multi label
- recurrent neural networks
- feature selection
- multi label classification
- text classification
- binary classification
- multi label learning
- hierarchical text categorization
- knn
- feature selections
- neural network
- naive bayes
- graph cuts
- image classification
- automatic text categorization
- k nearest neighbor
- ensemble pruning
- feed forward
- image annotation
- semi supervised learning
- text documents
- term frequency
- artificial neural networks
- learning algorithm
- class labels
- multiple labels
- image processing
- text classifiers
- supervised learning
- support vector machine
- machine learning