def test_analysing_multiple_docs(self):
tsa = TwitterSemanticAnalyser()
calculated = tsa.analyse_corpus(corpus)
expected = [([], ('positive', '0.0593345'), [
'Gheblawi Beyond belief', 'Egypt interesting discussion',
'religious history', 'make-up', 'interesting'
]), ([], ('negative', '-0.31492'), ['Messi', 'News']),
([('retweet', 'FieldTerminology')], ('neutral', 0), []),
([], ('positive', '0.060677'), [
'RT Beyond belief', 'Egypt interesting discussion',
'religious history', 'make-up', 'interesting'
]),
([('Bob Jones', 'Person'), ('Bob', 'Person'),
('Egypt', 'Country')], ('neutral', 0),
['Bob Jones', 'Egypt']),
([], ('negative', '-0.200008'), []),
([], ('positive', '0.61373'), ['happy'])]
self.assertEquals(expected, calculated)
def test_analysing_multiple_docs(self):
tsa = TwitterSemanticAnalyser()
calculated = tsa.analyse_corpus(corpus)
expected = [([], ('positive', '0.0593345'), ['Gheblawi Beyond belief', 'Egypt interesting discussion', 'religious history', 'make-up', 'interesting']), ([], ('negative', '-0.31492'), ['Messi', 'News']), ([('retweet', 'FieldTerminology')], ('neutral', 0), []), ([], ('positive', '0.060677'), ['RT Beyond belief', 'Egypt interesting discussion', 'religious history', 'make-up', 'interesting']), ([('Bob Jones', 'Person'), ('Bob', 'Person'), ('Egypt', 'Country')], ('neutral', 0), ['Bob Jones', 'Egypt']), ([], ('negative', '-0.200008'), []), ([], ('positive', '0.61373'), ['happy'])]
self.assertEquals(expected, calculated)
