Question: Natural Language Processing: Client Y uses a Nave Bayes classifier to determine whether tweets about their company are positive or negative. They have observed that

Natural Language Processing:

Client Y uses a Nave Bayes classifier to determine whether tweets about their company are positive or negative. They have observed that the classifier appears to guess randomly for some tweets due to a very large number of unknown words. What would you advise they do and why? [15 marks]

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