Text Classification without Labeled Negative Documents.
Gabriel Pui Cheong FungJeffrey Xu YuHongjun LuPhilip S. YuPublished in: ICDE (2005)
Keyphrases
- text classification
- unlabeled documents
- labeled documents
- training documents
- classify documents
- text classifiers
- text categorization
- text documents
- document classification
- text data
- bag of words
- document categorization
- feature selection
- term frequency
- labeled training data
- naive bayes
- training data
- sentiment analysis
- knn
- n gram
- labeled data
- text mining
- sentiment classification
- machine learning
- training corpus
- positive and negative
- vector space
- semantic features
- unlabeled data
- semi supervised learning
- information retrieval
- neural network
- class labels
- topic discovery
- positive and unlabeled examples
- automatic text classification
- tf idf
- multi label
- data cleaning
- semantic information
- metadata
- learning algorithm