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Related Questions
- What are some common sources of bias in text classification datasets, such as sentiment analysis?
- How can linguistic and cultural differences affect the accuracy of sentiment analysis models?
- What are some strategies for mitigating bias in text classification datasets, such as data preprocessing and model selection?
- Can you explain the concept of 'annotation bias' and how it can impact the performance of sentiment analysis models?
- How do domain-specific terminology and jargon impact the accuracy of sentiment analysis models?
- What role do social and cultural norms play in shaping the bias of text classification datasets?
- Can you discuss the impact of linguistic features, such as tone and sarcasm, on the accuracy of sentiment analysis models?
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