July 2018
Beginner to intermediate
312 pages
8h 31m
English
Content preview from Hands-On Natural Language Processing with Python
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Tokenization
Word tokens are the basic units of text involved in any NLP task. The first step, when processing text, is to split it into tokens. NLTK provides different types of tokenizers for doing this. We will look at how to tokenize Twitter comments from the Twitter samples corpora, available in NLTK. From now on, all of the illustrated code can be run by using the standard Python interpreter on the command line:
>>> import nltk>>> from nltk.corpus import twitter_samples as ts>>> ts.fileids()['negative_tweets.json', 'positive_tweets.json', 'tweets.20150430- 223406.json']>>> samples_tw = ts.strings('tweets.20150430-223406.json')>>> samples_tw[20]"@B0MBSKARE the anti-Scottish feeling is largely a product of Tory press scaremongering. In ...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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