25 lines
848 B
Python
25 lines
848 B
Python
# -*- coding: utf-8 -*-
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from __future__ import print_function, unicode_literals
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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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