July 2018
Beginner to intermediate
406 pages
9h 55m
English
book
Building Machine Learning Systems with Python - Third Edition
by Luis Pedro Coelho, Willi Richert, Matthieu Brucher
Content preview from Building Machine Learning Systems with Python - Third Edition
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Installing and using NLTK
NLTK is a simple pip install nltk away.
To check whether your installation was successful, open a Python interpreter and type:
>>> import nltk
You will find a very nice tutorial on NLTK in the book Python 3 Text Processing with NLTK 3 Cookbook by Jacob Perkins, published by Packt Publishing.
To play around a little bit with a stemmer, you can visit the web page http://text-processing.com/demo/stem/.
NLTK comes with different stemmers. This is necessary, because every language has a different set of rules for stemming. For English, we can take SnowballStemmer:
>>> import nltk.stem
>>> s = nltk.stem.SnowballStemmer('english')
>>> s.stem("graphics")
'graphic'
>>> s.stem("imaging")
'imag'
>>> s.stem("image")
'imag'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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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.