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Python Natural Language Processing

You're reading from   Python Natural Language Processing Advanced machine learning and deep learning techniques for natural language processing

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787121423
Length 486 pages
Edition 1st Edition
Languages
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Author (1):
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Jalaj Thanaki Jalaj Thanaki
Author Profile Icon Jalaj Thanaki
Jalaj Thanaki
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Table of Contents (13) Chapters Close

Preface 1. Introduction FREE CHAPTER 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

Visualization libraries in Python

Visualization is one of the important activities that is used to track certain processes and the results of your application. We used matplotlib in Chapter 6, Advance Feature Engineering and NLP Algorithms, as well as in other chapters.

Apart from matplotlib, we can use various visualization libraries:

  • matplotlib: It is simple to use and very useful
  • bokeh: It provides customized themes and charts
  • pygal: You can make cool graphs and charts with this

You can use the following links to refer to each of the libraries. All libraries have written documentation so you can check them and start making your own charts.

You can find more on matplotlib at https://matplotlib.org/.

You can find more on Bokeh at http://bokeh.pydata.org/en/latest/docs/gallery.html.

You can find documentation about pygal at http://pygal.org/en/stable/documentation/index.html...

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