August 2015
Beginner to intermediate
294 pages
5h 20m
English
Content preview from Mastering Python for Data ScienceBecome 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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The Stanford Named Entity Recognizer
The Named Entity Recognizer is a task that classifies the elements of a sentence into categories, such as person, organization, location, and so on. Stanford Named Entity Recognizer is one of the most popular out there and can be found at http://nlp.stanford.edu/.
The Stanford Named Entity Recognizer can be downloaded at http://nlp.stanford.edu/software/stanford-ner-2014-06-16.zip.
The following code shows the Stanford Named Entity Recognizer in action:
>>> from nltk.tag.stanford import NERTagger. >>> st = NERTagger('./lib/stanford-ner/classifiers/english.all.3class.distsim.crf.ser.gz', './lib/stanford-ner/stanford-ner.jar') >>> st.tag('''Barrack Obama is the president of the United States of America . His father ...
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