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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

Developing NLP applications using the RB system

In this section, we will see how to develop NLP applications using the RB system. We are developing applications from the beginning. So, first you need the following dependencies.

You can run the following command to install all the dependencies:

 pip install -r pip-requirements.txt
  

The list of dependencies can be found by clicking on this link: https://github.com/jalajthanaki/NLPython/blob/master/pip-requirements.txt

Thinking process for making rules

We are talking a lot about rules, but how can these rules actually can be derived? What is the thinking process of a linguist when they are deriving rules for an NLP application? Then, let's begin with this thinking process...

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