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Related Questions
- What are the key factors to consider when selecting initial labeled data for active learning in sentiment analysis?
- Can you explain how the quality and quantity of initial labeled data affect the performance of active learning in sentiment analysis?
- How does the selection of initial labeled data impact the accuracy and generalizability of the active learning model in sentiment analysis?
- What are some strategies for optimizing the selection of initial labeled data for active learning in sentiment analysis to improve model performance?
- Can you discuss the role of data diversity and representativeness in the selection of initial labeled data for active learning in sentiment analysis?
- How does the selection of initial labeled data affect the active learning process, particularly in terms of the number of samples required for convergence?
- What are the potential risks and challenges associated with selecting a suboptimal initial labeled dataset for active learning in sentiment analysis, and how can they be mitigated?
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