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Related Questions
- What is the primary goal of active learning in improving sentiment analysis model performance?
- How does active learning differ from semi-supervised learning in terms of data requirements and model performance?
- Can you explain the key differences between active learning and reinforcement learning in sentiment analysis?
- What are the advantages of active learning over other methods, such as transfer learning, in improving sentiment analysis model performance?
- How does active learning handle uncertainty and noise in sentiment analysis data?
- What are some common application scenarios for active learning in sentiment analysis, and how does it compare to other methods?
- Can you provide examples of how active learning can be used to improve the performance of pre-trained language models in sentiment analysis?
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