Assessing Benefit from Feature Feedback in Active Learning for Text Classification.
Shilpa AroraEric NybergPublished in: CoNLL (2011)
Keyphrases
- text classification
- active learning
- relevance feedback
- machine learning
- feature selection
- labeled data
- bag of words
- text categorization
- naive bayes
- text mining
- text data
- image features
- text documents
- supervised feature selection
- learning strategies
- multi label
- selective sampling
- random sampling
- text classifiers
- n gram
- text classification tasks
- unlabeled data
- knn
- distributional clustering
- natural language processing
- imbalanced data classification
- user feedback
- feature space
- training examples
- feature vectors
- semi supervised learning
- feature set