Improving Probabilistic Models in Text Classification via Active Learning.
Mitchell BosleySaki KuzushimaTed EnamoradoYuki ShiraitoPublished in: CoRR (2022)
Keyphrases
- text classification
- probabilistic model
- active learning
- labeled data
- language modeling
- graphical models
- text categorization
- machine learning
- unlabeled data
- feature selection
- bag of words
- expectation maximization
- random sampling
- text mining
- semantic features
- text data
- transfer learning
- data cleaning
- semi supervised learning
- n gram
- conditional random fields
- text documents
- multi label
- naive bayes
- generative model
- semi supervised
- sentiment analysis
- selective sampling
- learning strategies
- language model
- supervised learning
- hidden variables
- learning algorithm
- topic models
- training examples
- text classifiers
- image segmentation