Applicability of Machine Learning Methods to Multi-label Medical Text Classification.
Iuliia LenivtcevaEvgenia SlastenMariya KashinaGeorgy KopanitsaPublished in: ICCS (4) (2020)
Keyphrases
- machine learning methods
- multi label
- text classification
- machine learning
- text categorization
- multi label classification
- machine learning algorithms
- image annotation
- multi label learning
- bag of words
- graph cuts
- machine learning approaches
- binary classification
- text mining
- ensemble methods
- feature selection
- multiple labels
- image classification
- naive bayes
- real world
- unsupervised learning
- labeled data
- k nearest neighbor
- active learning
- learning algorithm
- text classifiers
- image segmentation
- hierarchical text categorization
- information retrieval
- feature extraction
- statistical methods
- information extraction
- computer vision
- cost sensitive
- learning process
- data sets
- protein function prediction
- automatic text classification