Question: We want to build a naive Bayes sentiment classifier using add-1 smoothing. Here is our training set: - the movie has no plot - honestly

We want to build a naive Bayes sentiment classifier using add-1 smoothing. Here is our training set:

- the movie has no plot

- honestly pretty boring

+ pretty interesting movie

Test Set:

pretty enjoyable plot

Answer the questions below given the sets above:

Compute the prior for the two classes + and -, and the likelihoods for each word given the class (leave in the form of fractions).
Would using binary multinomial Naive Bayes change anything?

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Sure lets work through the problems step by step Step 1 Compute the Priors for the Classes and 1 Count the documents in each class Positive class 1 do... View full answer

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