CBC: Clustering Based Text Classification Requiring Minimal Labeled Data.
Hua-Jun ZengXuanhui WangZheng ChenHongjun LuWei-Ying MaPublished in: ICDM (2003)
Keyphrases
- labeled data
- text classification
- unlabeled data
- semi supervised learning
- text categorization
- bag of words
- machine learning
- feature selection
- transfer learning
- semi supervised classification
- text mining
- naive bayes
- class labels
- sentiment analysis
- document classification
- domain adaptation
- unlabeled documents
- labeled and unlabeled data
- labeled training data
- labeled examples
- training examples
- co training
- feature engineering
- label propagation
- text classifiers
- cross domain text classification
- semi supervised
- multi label
- information retrieval
- semi supervised clustering
- semantic features
- text data
- label information
- supervised learning algorithms
- labeled training set
- multiple sources