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