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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

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787121423
Length 486 pages
Edition 1st Edition
Languages
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Author (1):
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Jalaj Thanaki Jalaj Thanaki
Author Profile Icon Jalaj Thanaki
Jalaj Thanaki
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Toc

Table of Contents (13) Chapters Close

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

An overview of artificial intelligence

In this section, we will see the various aspects of AI and how deep learning is related to AI. We will see the AI components, various stages of AI, and different types of AI; at the end of this section, we will discuss why deep learning is one of the most promising techniques in order to achieve AI.

The basics of AI

When we talk about AI, we think about an intelligent machine, and this is the basic concept of AI. AI is an area of science that is constantly progressing in the direction of enabling human-level intelligence in machines. The basic idea behind AI is to enable intelligence in machines so that they can also perform some of the tasks performed only by humans. We are trying to...

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