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Related Questions
- What are the key challenges of implementing active learning for sentiment analysis models with limited labeled data?
- How does the quality of the initial labeled dataset impact the effectiveness of active learning for sentiment analysis?
- What are some strategies for selecting the most informative samples for labeling in active learning for sentiment analysis?
- Can you explain the trade-off between the number of labeled samples and the accuracy of the sentiment analysis model in active learning?
- How does the type of sentiment analysis task (e.g. binary, multi-class, or aspect-based) affect the challenges of active learning?
- What are some common metrics used to evaluate the performance of active learning for sentiment analysis models?
- Can you discuss the role of human annotators in active learning for sentiment analysis and how to ensure their consistency and reliability?
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