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Related Questions
- How do you cope with words that are not in the training data of an implicit sentiment analysis model?
- What methods do you use to address out-of-vocabulary (OOV) words in sentiment analysis tasks?
- Can you explain how you handle words that have no explicit sentiment labels but still convey a sentiment in implicit sentiment analysis?
- What techniques do you employ to mitigate the impact of OOV words on the performance of an implicit sentiment analysis model?
- How do you account for the presence of neologisms or domain-specific words that may not be present in the training dataset?
- Can you discuss the trade-offs involved in using different strategies for handling OOV words in implicit sentiment analysis?
- How do you measure the impact of OOV words on the accuracy and robustness of an implicit sentiment analysis model?
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