Robustly Leveraging Prior Knowledge in Text Classification.
Biao LiuMinlie HuangPublished in: CoRR (2015)
Keyphrases
- text classification
- prior knowledge
- labeled data
- bag of words
- text categorization
- feature selection
- text data
- text mining
- machine learning
- text documents
- domain knowledge
- unlabeled data
- naive bayes
- bayesian framework
- multi label
- data cleaning
- document classification
- n gram
- incorporation of prior knowledge
- prior information
- knn
- sentiment analysis
- database
- latent variables
- training data
- semantic features
- association rules
- language modeling
- information extraction
- text classifiers
- rough sets
- text classification tasks
- generative model