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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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Toc

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

Tips for readers

This book is a practical guide. As an industry professional, I strongly recommend all my readers replicate the code that is already available on GitHub and perform the exercises given in the book. This will improve your understanding of NLP concepts. Without performing the practicals, it will be nearly impossible for you to get all the NLP concepts thoroughly. By the way, I promise that it will be fun to implement them.

The flow of upcoming chapters is as follows:

  • Explanation of the concepts
  • Application of the concepts
  • Needs of the concepts
  • Possible ways to implement the concepts (code is on GitHub)
  • Challenges of the concepts
  • Tips to overcome challenges
  • Exercises
You have been reading a chapter from
Python Natural Language Processing
Published in: Jul 2017
Publisher: Packt
ISBN-13: 9781787121423
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