2018-02-15 23:46:22 +03:00
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# coding: utf8
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from __future__ import unicode_literals
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import pytest
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@pytest.mark.models('en')
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2018-02-16 01:28:38 +03:00
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def test_issue1959(EN):
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2018-02-15 23:46:22 +03:00
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texts = ['Apple is looking at buying U.K. startup for $1 billion.']
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2018-02-16 01:28:38 +03:00
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# nlp = load_test_model('en_core_web_sm')
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EN.add_pipe(clean_component, name='cleaner', after='ner')
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doc = EN(texts[0])
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doc_pipe = [doc_pipe for doc_pipe in EN.pipe(texts)]
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2018-02-15 23:46:22 +03:00
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assert doc == doc_pipe[0]
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def clean_component(doc):
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""" Clean up text. Make lowercase and remove punctuation and stopwords """
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# Remove punctuation, symbols (#) and stopwords
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doc = [tok.text.lower() for tok in doc if (not tok.is_stop
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and tok.pos_ != 'PUNCT' and
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tok.pos_ != 'SYM')]
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doc = ' '.join(doc)
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return doc
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