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Generating a model for sentiment analysis typically uses one of two statistical processes. One is k-NN...

Generating a model for sentiment analysis typically uses one of two statistical processes. One is k-NN Cluster Analysis. The other is: Question 39 options: 1) Naive Bayes 2) rule association mining 3) discriminant analysis 4) apriori analysis

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Answer #1

Answer: 1) Naive Bayes

Sentiment Analysis is a classification task so it usually contains a statistical model like Naïve Bayes, SVM, Logistic Regression, or Artificial Neural Networks:

Naive Bayes basically belongs to a family of probabilistic algorithms in which Bayes’ Theorem is used to predict the category.

This category refers to the class of sentiment to be predicted

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