Uncertainty Quantification for Text Classification.
Dell ZhangMurat SensoyMasoud MakrehchiBilyana Taneva-PopovaLin GuiYulan HePublished in: SIGIR (2023)
Keyphrases
- text classification
- text categorization
- bag of words
- text mining
- machine learning
- naive bayes
- multi label
- feature selection
- sentiment analysis
- possibility theory
- data cleaning
- text documents
- text data
- n gram
- text classifiers
- semantic features
- labeled data
- inherent uncertainty
- belief functions
- conditional probabilities
- learning algorithm
- probability distribution
- unlabeled data
- uncertain data
- real world
- decision theory
- robust optimization
- graph cuts