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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

Basic preprocessing

In basic preprocessing, we include things that are simple and easy to code but seek our attention when we are doing preprocessing for NLP applications.

Regular expressions

Now we will begin some of the interesting concepts of preprocessing, which are the most useful. We will look at some of the advanced levels of regular expression.

For those who are new to regular expression, I want to explain the basic concept of regular expression (regex).

Regular expression is helpful to find or find-replace specific patterns from a sequence of characters. There is particular syntax which you need to follow when you are making regex.

There are many online tools available which can give you the facility to develop and...

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