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Related Questions
- How does a model handle out-of-vocabulary words in implicit sentiment analysis?
- What strategies can be employed to handle unknown words in sentiment analysis tasks?
- How do you update the model to incorporate new words that are not in the training data?
- What is the impact of out-of-vocabulary words on the performance of an implicit sentiment analysis model?
- Can you explain how a model can learn to infer the sentiment of unknown words?
- How do you balance the trade-off between model performance and handling unknown words in sentiment analysis?
- What techniques can be used to adapt the model to handle words that are not in the training data?
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