Using semantic similarity for multi-label zero-shot classification of text documents.
Prateek Veeranna SappadlaJinseok NamEneldo Loza MencíaJohannes FürnkranzPublished in: ESANN (2016)
Keyphrases
- text documents
- multi label
- text classification
- text categorization
- semantic similarity
- automatic text categorization
- wordnet
- multi label classification
- image classification
- class labels
- feature selection
- text mining
- bag of words
- machine learning
- news articles
- text classifiers
- co occurrence
- knn
- semantic information
- graph cuts
- image annotation
- document clustering
- similarity measure
- topic models
- feature extraction
- classification algorithm
- labeled data
- k nearest neighbor
- natural language processing
- feature space
- named entities
- classification accuracy
- unsupervised learning
- knowledge discovery
- semi supervised
- training set
- semi supervised learning
- support vector
- knowledge base
- supervised learning