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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

Product type Paperback

Published in Jul 2021

Publisher Packt

ISBN-13 9781800563353

Length 356 pages

Edition 1st Edition

Languages

Python

Tools

Spacy

Concepts

Mobile Application Development

Author (1):

Duygu Altınok

View More author details

Table of Contents (15) Chapters

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

Chapter 1: Getting Started with spaCy

In this chapter, we will have a comprehensive introduction to natural language processing (NLP) application development with Python and spaCy. First, we will see how NLP development goes hand in hand with Python, along with an overview of what spaCy offers as a Python library.

After the warm-up, you will quickly get started with spaCy by downloading the library and loading the models. You will then explore spaCy's popular visualizer displaCy by visualizing several features of spaCy.

By the end of this chapter, you will know what you can achieve with spaCy and how to plan your journey with spaCy code. You will be also settled with your development environment, having already installed all the necessary packages for NLP tasks in the upcoming sections.

We're going to cover the following main topics in this chapter:

Overview of spaCy
Installing spaCy
Installing spaCy's statistical models
Visualization with displaCy

You have been reading a chapter from

Mastering spaCy

Published in: Jul 2021

Publisher: Packt

ISBN-13: 9781800563353

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Authors (1)

Duygu Altınok

Duygu Altınok

Duygu Altınok is a senior NLP engineer with 12 years of experience in almost all areas of NLP including search engine technology, speech recognition, text analytics, and conversational AI. She authored several publications in the NLP area at conferences such as LREC and CLNLP. She also enjoys working on open-source projects and is a contributor to the spaCy library. Duygu earned her undergraduate degree in Computer Engineering from METU, Ankara in 2010 and later earned her Master's degree in Mathematics from Bilkent University, Ankara in 2012. She is currently a senior engineer at German Autolabs with a focus on conversational AI for voice assistants. Originally from Istanbul, Duygu currently resides in Berlin, DE with her cute dog Adele.

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