We want to build a naive Bayes sentiment classifier using add-1 smoothing. Here is our training set
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 whether the sentence in the test set is of class positive or negative (you may need a computer for this final computation).
- Explain in short gradient descent function for logistic regression.
See rubric for grading.
Implement the following tutorial using your own examples. Share the implementation and the output screenshots in a word/pdf document.
NLTK :: Sample usage for sentiment
https://ucumberlands.blackboard.com/ultra/courses/_162243_1/cl/outline
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