def test_dict(self):
# Assert weighted average polarity and subjectivity for dictionary.
s = text.Sentiment()
v = {":-(": 4, ":-)": 1}
self.assertEqual(s(v)[0], -0.5)
self.assertEqual(s(v)[1], +1.0)
self.assertEqual(s(v).assessments[0], ([":-("], -0.75, 1.0, "mood"))
self.assertEqual(s(v).assessments[1], ([":-)"], +0.50, 1.0, "mood"))
print("pattern.text.Sentiment.assessments")
def test_bag_of_words(self):
# Assert weighted average polarity and subjectivity for bag-of-words with weighted features.
from pattern.vector import BagOfWords # Alias for pattern.vector.Document.
s = text.Sentiment()
v = BagOfWords({":-(": 4, ":-)": 1})
self.assertEqual(s(v)[0], -0.5)
self.assertEqual(s(v)[1], +1.0)
self.assertEqual(s(v).assessments[0], ([":-("], -0.75, 1.0, "mood"))
self.assertEqual(s(v).assessments[1], ([":-)"], +0.50, 1.0, "mood"))
