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Python Natural Language Processing

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

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

Natural language understanding

Let's learn about natural language understanding:

Natural language understanding (NLU) is considered the first component of NLP
NLU is considered an Artificial Intelligence-Hard (AI-Hard) problem or Artificial Intelligence-Complete (AI-Complete) problem
NLU is considered an AI-Hard problem because we are trying to make a computer as intelligent as a human
NLU is hard, but nowadays, tech giants and research communities are improvising traditional Machine Learning algorithms and applying various types of deep neural network that will help to achieve the goal (computers can also have the intelligence to process natural language (NL))
NLU is defined as the process of converting NL input into useful a representation by using computational linguistics tools
NLU requires the following analysis to convert NL into a useful representation:
- Morphological...

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