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Add (and test) Span.sentiment attribute. By default we average token.span, but can override with custom hook. Re Issue #667
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@ -1,6 +1,7 @@
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from __future__ import unicode_literals
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from spacy.attrs import HEAD
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from spacy.en import English
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from spacy.tokens.doc import Doc
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import numpy as np
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import pytest
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@ -49,3 +50,44 @@ def test_sent(doc):
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assert span.sent.text == 'This is a sentence.'
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span = doc[6:7]
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assert span.sent.root.left_edge.text == 'This'
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def test_default_sentiment(EN):
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'''Test new span.sentiment property's default averaging behaviour'''
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good = EN.vocab[u'good']
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good.sentiment = 3.0
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bad = EN.vocab[u'bad']
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bad.sentiment = -2.0
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doc = Doc(EN.vocab, [u'good', 'stuff', u'bad', u'stuff'])
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good_stuff = doc[:2]
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assert good_stuff.sentiment == 3.0 / 2
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bad_stuff = doc[-2:]
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assert bad_stuff.sentiment == -2. / 2
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good_stuff_bad = doc[:-1]
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assert good_stuff_bad.sentiment == (3.+-2) / 3.
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def test_override_sentiment(EN):
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'''Test new span.sentiment property's default averaging behaviour'''
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good = EN.vocab[u'good']
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good.sentiment = 3.0
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bad = EN.vocab[u'bad']
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bad.sentiment = -2.0
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doc = Doc(EN.vocab, [u'good', 'stuff', u'bad', u'stuff'])
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doc.user_span_hooks['sentiment'] = lambda span: 10.0
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good_stuff = doc[:2]
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assert good_stuff.sentiment == 10.0
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bad_stuff = doc[-2:]
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assert bad_stuff.sentiment == 10.0
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good_stuff_bad = doc[:-1]
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assert good_stuff_bad.sentiment == 10.0
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@ -179,6 +179,13 @@ cdef class Span:
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self._vector_norm = sqrt(norm) if norm != 0 else 0
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return self._vector_norm
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property sentiment:
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def __get__(self):
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if 'sentiment' in self.doc.user_span_hooks:
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return self.doc.user_span_hooks['sentiment'](self)
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else:
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return sum([token.sentiment for token in self]) / len(self)
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property text:
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def __get__(self):
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text = self.text_with_ws
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