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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 (13) Chapters

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

Understanding the Structure of a Sentences

In this chapter, we'll explore the basic concepts of NLP. This chapter is the most important chapter, as it helps to make your foundation strong.

We are going to cover the following topics to improve your understanding of the basic NLP concepts, which will help understand the next chapter:

Understanding the components of NLP
What is context-free grammar?
Morphological analysis
Lexical analysis
Syntactic analysis
Semantic analysis
Handling ambiguity
Discourse integration
Pragmatic analysis

The rest of the chapter is locked

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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.

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