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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

Syntactic analysis

We have seen word-level analysis in lexical analysis. In this section, we will look at things from a higher level. We are going to focus on the grammar and structure of sentences by considering the phrases in the sentences.

Now, let's define syntactic analysis and see how it will be used in NLP applications.

What is syntactic analysis?

Syntactic analysis is defined as analysis that tells us the logical meaning of certain given sentences or parts of those sentences. We also need to consider rules of grammar in order to define the logical meaning as well as correctness of the sentences.

Let's take an example: If I'm considering English and I have a sentence such as School go a boy, this sentence does not logically convey its meaning, and its grammatical structure is not correct. So, syntactic analysis tells us whether the given sentence conveys its logical meaning and whether its grammatical structure is correct.

Syntactic analysis is a well-developed area of NLP that deals with...

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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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