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Python Natural Language Processing

You're reading from  Python Natural Language Processing

Product type Book
Published in Jul 2017
Publisher Packt
ISBN-13 9781787121423
Pages 486 pages
Edition 1st Edition
Languages
Toc

Table of Contents (13) Chapters close

Preface 1. Introduction 2. Practical Understanding of a Corpus and Dataset 3. Understanding the Structure of a Sentences 4. Preprocessing 5. Feature Engineering and NLP Algorithms 6. Advanced Feature Engineering and NLP Algorithms 7. Rule-Based System for NLP 8. Machine Learning for NLP Problems 9. Deep Learning for NLU and NLG Problems 10. Advanced Tools 11. How to Improve Your NLP Skills 12. Installation Guide

Resources for accessing free corpora

Getting the corpus is a challenging task, but in this section, I will provide you with some of the links from which you can download a free corpus and use it to build NLP applications.

The nltk library provides some inbuilt corpus. To list down all the corpus names, execute the following commands:

    import nltk.corpus
    dir(nltk.corpus) # Python shell
    print dir(nltk.corpus) # Pycharm IDE syntax
  

In Figure 2.2, you can see the output of the preceding code; the highlighted part indicates the name of the corpora that are already installed:

Figure 2.2: List of all available corpora in nltk
If you guys want to use IDE to develop an NLP application using Python, you can use the PyCharm community version. You can follow its installation steps by clicking on the following URL: https://github.com/jalajthanaki/NLPython/blob/master/ch2/Pycharm_installation_guide...
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