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Related Questions
- How does active learning interact with transfer learning in the context of sentiment analysis?
- What are the key differences between active learning and other methods, such as semi-supervised learning, for improving sentiment analysis model performance?
- Can you compare and contrast the strengths and limitations of active learning and transfer learning for sentiment analysis in terms of data requirements and computational resources?
- How does active learning handle class imbalance, whereas transfer learning may struggle with it?
- What are some real-world applications where active learning could be more effective than transfer learning for sentiment analysis tasks?
- What are the potential trade-offs between using active learning vs. transfer learning, particularly in terms of the accuracy and interpretability of sentiment analysis models?
- Can you provide any examples of how active learning and transfer learning could be combined to achieve even better sentiment analysis performance than using either method alone?
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