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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
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Duygu Altınok
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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

To get the most out of this book

First of all, you'll need Python 3 installed and working on your system. Code examples are tested with spaCy v3.0, however, most of the code is compatible with spaCy v2.3 due to backwards compatibility. For the helper libraries such as scikit-learn, pandas, NumPy, and matplotlib, the latest versions available on pip will work. We use TensorFlow, transformers, and helper libraries starting with Chapter 7, Customizing spaCy Models, so you can install these libraries by the time you reach Chapter 7.

We used Jupyter notebooks from time to time. You can view the notebooks on the book's GitHub page. If you want to work with Jupyter notebooks, that's great; you can install Jupyter via pip. If you don't want to, you can still copy and paste the code into the Python shell and make the code work.

If you are using the digital version of this book, we advise you to type the code yourself or access the code via the GitHub repository (link available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

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