An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels.
Ilias ChalkidisManos FergadiotisSotiris KotitsasProdromos MalakasiotisNikolaos AletrasIon AndroutsopoulosPublished in: CoRR (2020)
Keyphrases
- multi label
- text classification
- multi label classification
- text categorization
- image classification
- image annotation
- multiple labels
- multi instance
- graph cuts
- bag of words
- binary classification
- label space
- classifier training
- multi label learning
- class labels
- knn
- text mining
- machine learning
- automatic image annotation
- naive bayes
- labeled data
- k nearest neighbor
- label assignment
- text classifiers
- hierarchical text categorization
- single label classification
- max margin
- collective classification
- classification algorithm
- supervised learning
- data analysis
- image segmentation
- data mining
- neural network