Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation.
Hamidreza RouzegarMasoud MakrehchiPublished in: CoRR (2024)
Keyphrases
- active learning
- text classification
- machine learning
- labeled data
- annotation effort
- bag of words
- learning strategies
- unlabeled data
- text categorization
- feature selection
- training examples
- feature engineering
- data driven
- selective sampling
- text classification tasks
- learning algorithm
- text mining
- semi supervised
- knn
- learning process
- n gram
- random sampling
- sentiment analysis
- naive bayes
- text classifiers
- semantic annotation
- transfer learning
- supervised learning
- information retrieval
- human subjects
- multi label
- semantic features
- natural language processing
- natural language
- active learning framework