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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

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781787121423

Length 486 pages

Edition 1st Edition

Languages

Processing

Tools

Processing

Concepts

Artificial Intelligence

Author (1):

Jalaj Thanaki

View More author details

Table of Contents (21) Chapters

Title Page

Credits

Foreword

About the Author

Acknowledgement

About the Reviewers

www.PacktPub.com

Customer Feedback

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

Architecture of the RB system

I will explain the architecture of the RB system by segregating it into three sections:

General architecture of RB system as an expert system
Practical architecture of the RB system for NLP applications
Custom architecture - RB system for NLP applications
Apache UIMA (Unstructured Information Management Architecture) the RB system for NLP applications

General architecture of the rule-based system as an expert system

If we described our rule-based system as an expert system, then the architecture of this kind of rule-based system would be the same as in Figure 7.5:

Figure 7.5: Architecture of the RB system, considering it as an expert system

Let's look at each of the components of the architecture in detail:

Domain expert:
- As we saw in the previous section, domain experts are the ones who have expertise for a specific domain and they can help us to generate the rules to solve our problems
Developers or knowledge engineer:
- Developers use the rules which are created by the...

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Authors (1)

Jalaj Thanaki

Jalaj Thanaki

Jalaj Thanaki is an experienced data scientist with a demonstrated history of working in the information technology, publishing, and finance industries. She is author of the book Python Natural Language Processing, Packt publishing. Her research interest lies in Natural Language Processing, Machine Learning, Deep Learning, and Big Data Analytics. Besides being a data scientist, Jalaj is also a social activist, traveler, and nature-lover.

See other products by Jalaj Thanaki

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