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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

Practical and customized preprocessing

When we start preprocessing for NLP applications, sometimes you need to do some customization according to your NLP application. At that time, it might be possible that you need to think about some of the points which I have described as follows.

Decide by yourself

This section is a discussion of how to approach preprocessing when you don't know what kind of preprocessing is required for developing an NLP application. In this kind of situation, what you can do is simply ask the following questions to yourself and make a decision.

What is your NLP application and what kind of data do you need to build the NLP application?

  • Once you have understood the problem statement, as well as...
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