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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

Summary

This chapter gave you an introduction to NLP with Python and spaCy. You now have a brief idea about why to use Python for language processing and the reasons to prefer spaCy for creating your NLP applications. We also got started on our spaCy journey by installing spaCy and downloading language models. This chapter also introduced us to the visualization tool – displaCy.

In the next chapter, we will continue our exciting spaCy journey with spaCy core operations such as tokenization and lemmatization. It'll be our first encounter with spaCy features in detail. Let's go ahead and explore more together!

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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