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Mastering spaCy

You're reading from   Mastering spaCy An end-to-end practical guide to implementing NLP applications using the Python ecosystem

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781800563353
Length 356 pages
Edition 1st Edition
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Author (1):
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Duygu Altınok Duygu Altınok
Author Profile Icon Duygu Altınok
Duygu Altınok
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Toc

Table of Contents (15) Chapters Close

Preface 1. Section 1: Getting Started with spaCy
2. Chapter 1: Getting Started with spaCy FREE CHAPTER 3. Chapter 2: Core Operations with spaCy 4. Section 2: spaCy Features
5. Chapter 3: Linguistic Features 6. Chapter 4: Rule-Based Matching 7. Chapter 5: Working with Word Vectors and Semantic Similarity 8. Chapter 6: Putting Everything Together: Semantic Parsing with spaCy 9. Section 3: Machine Learning with spaCy
10. Chapter 7: Customizing spaCy Models 11. Chapter 8: Text Classification with spaCy 12. Chapter 9: spaCy and Transformers 13. Chapter 10: Putting Everything Together: Designing Your Chatbot with spaCy 14. Other Books You May Enjoy

Introduction to conversational AI

We welcome you to our last and very exciting chapter, where you'll be designing a chatbot NLU pipeline with spaCy and TensorFlow. In this chapter, you'll learn the NLU techniques for extracting meaning from multiturn chatbot-user interactions. By learning and applying these techniques, you'll take a step into conversational AI development.  

Before diving into the technical details, there's one fundamental question: what is a chatbot? Where can we find one? What exactly does conversational AI mean?

Conversational artificial intelligence (conversational AI) is a field of machine learning that aims to create technology that enables users to have text- or speech-based interactions with machines. Chatbots, virtual assistants, and voice assistants are typical conversational AI products.

A chatbot is a software application that is designed to make conversations with humans in chat applications. Chatbots are popular...

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