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Related Questions
- Can you explain how data augmentation can help reduce representation bias in text classification models?
- What are some common data preprocessing techniques that can help mitigate representation bias in text classification?
- How can oversampling the minority class and undersampling the majority class help address representation bias in text classification?
- Can you discuss the role of feature engineering in addressing representation bias in text classification models?
- How can you use techniques such as sentiment analysis and topic modeling to identify and address representation bias in text classification?
- Can you explain how using more diverse and representative datasets can help reduce representation bias in text classification models?
- What are some challenges associated with addressing representation bias in text classification, and how can they be overcome?
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