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Related Questions
- What are the key factors that determine the informativeness of a sample in uncertainty sampling for sentiment analysis?
- How can the concept of uncertainty be measured in the context of sentiment analysis, and what are the common methods used?
- Can you explain the difference between uncertainty sampling and other active learning strategies, such as query-by-committee and expected model change?
- How can the informativeness of a sample be estimated, and what are the trade-offs between different estimation methods?
- In what scenarios is uncertainty sampling more effective than other active learning strategies for sentiment analysis?
- Can you discuss the potential challenges and limitations of using uncertainty sampling for sentiment analysis, such as dealing with noisy or biased data?
- How can the results of uncertainty sampling be used to improve the performance of a sentiment analysis model, and what are the potential benefits of using this approach?
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