22 lines
743 B
Python
22 lines
743 B
Python
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import unittest
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from nltk.classify.naivebayes import NaiveBayesClassifier
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class NaiveBayesClassifierTest(unittest.TestCase):
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def test_simple(self):
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training_features = [
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({"nice": True, "good": True}, "positive"),
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({"bad": True, "mean": True}, "negative"),
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]
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classifier = NaiveBayesClassifier.train(training_features)
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result = classifier.prob_classify({"nice": True})
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self.assertTrue(result.prob("positive") > result.prob("negative"))
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self.assertEqual(result.max(), "positive")
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result = classifier.prob_classify({"bad": True})
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self.assertTrue(result.prob("positive") < result.prob("negative"))
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self.assertEqual(result.max(), "negative")
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