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Related Questions
- How do you handle class imbalance in sentiment analysis datasets to improve model performance?
- What are some strategies for active learning in sentiment analysis, where the model selects the most informative samples for labeling?
- Can you explain the concept of data augmentation in sentiment analysis and its role in improving model performance?
- How do you evaluate the effectiveness of sentiment analysis models on out-of-distribution data?
- What are some techniques for handling noisy or ambiguous data in sentiment analysis datasets?
- Can you discuss the importance of feature extraction in sentiment analysis and how it relates to model performance?
- How do you handle sentiment analysis tasks with multiple targets, such as binary and multi-class classification?
- What are some techniques for transfer learning in sentiment analysis, where a pre-trained model is fine-tuned for a specific task?
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