February 2018
Intermediate to advanced
378 pages
10h 14m
English
Content preview from Machine Learning with Swift
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Named entity recognition (NER)
Note the (u'Paris', 'NNP'), (u'Exposition', 'NNP'), (u'Americans, NNPS). NNP stands for proper noun, NNPS proper noun plural. We need to get rid of all capital letters from non-proper nouns and from all punctuation marks and numbers:
In [25]: # tags_to_delete = ['$', "''", "(", ")", ",", "--", ".", ":", "CC"] tags_to_not_lowercase = set(['NNP', 'NNPS']) tags_to_preserve = set(['JJ', 'JJR', 'JJS', 'NN', 'NNP', 'NNPS', 'NNS', 'RB', 'RBR', 'RBS','UH', 'VB', 'VBD', 'VBG', 'VBN', 'VBP', 'VBZ']) In [26]: print(pos_sentences[203]) [(u'Everybody', 'NN'), (u'wa', 'VBZ'), (u'going', 'VBG'), (u'to', 'TO'), (u'the', 'DT'), (u'famous', 'JJ'), (u'Paris', 'NNP'), (u'Exposition', 'NNP'), (u'--', ':'), (u'I', 'PRP'), (u',', ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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