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Raspberry Pi 3 Cookbook for Python Programmers

You're reading from   Raspberry Pi 3 Cookbook for Python Programmers Unleash the potential of Raspberry Pi 3 with over 100 recipes

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Product type Paperback
Published in Apr 2018
Publisher
ISBN-13 9781788629874
Length 552 pages
Edition 3rd Edition
Languages
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Authors (2):
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Steven Lawrence Fernandes Steven Lawrence Fernandes
Author Profile Icon Steven Lawrence Fernandes
Steven Lawrence Fernandes
Tim Cox Tim Cox
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Tim Cox
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Toc

Table of Contents (17) Chapters Close

Preface 1. Getting Started with a Raspberry Pi 3 Computer 2. Dividing Text Data and Building Text Classifiers FREE CHAPTER 3. Using Python for Automation and Productivity 4. Predicting Sentiments in Words 5. Creating Games and Graphics 6. Detecting Edges and Contours in Images 7. Creating 3D Graphics 8. Building Face Detector and Face Recognition Applications 9. Using Python to Drive Hardware 10. Sensing and Displaying Real-World Data 11. Building Neural Network Modules for Optical Character Recognition 12. Building Robots 13. Interfacing with Technology 14. Can I Recommend a Movie for You? 15. Hardware and Software List 16. Other Books You May Enjoy

Stemming text data

The stemming procedure involves creating a suitable word with reduced letters for the words of the tokenizer.

How to do it...

  1. Initialize the stemming process with a new Python file:
from nltk.stem.porter import PorterStemmer 
from nltk.stem.lancaster import LancasterStemmer 
from nltk.stem.snowball import SnowballStemmer 
  1. Let's describe some words to consider, as follows:
words = ['ability', 'baby', 'college', 'playing', 'is', 'dream', 'election', 'beaches', 'image', 'group', 'happy'] 
  1. Identify a group of stemmers to be used:
stemmers = ['PORTER', 'LANCASTER', &apos...
You have been reading a chapter from
Raspberry Pi 3 Cookbook for Python Programmers - Third Edition
Published in: Apr 2018
Publisher:
ISBN-13: 9781788629874
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