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ugik/multinomialNaiveBayes_part5.py

Created January 11, 2017 17:40
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part 5
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multinomialNaiveBayes_part5.py
# we can now calculate a score for a new sentence
sentence = "good day for us to have lunch?"
# now we can find the class with the highest score
for c in class_words.keys():
print ("Class: %s Score: %s \n" % (c, calculate_class_score(sentence, c)))
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