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You're reading from Python Natural Language Processing

Product type Book

Published in Jul 2017

Publisher Packt

ISBN-13 9781787121423

Pages 486 pages

Edition 1st Edition

Languages

Python

Concepts

Artificial Intelligence

Table of Contents (13) Chapters

Preface

1. Introduction

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

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