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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

Section 2: spaCy Features

In this section, spaCy will be unveiled and examined in depth by looking at the most powerful and frequently used features. We will uncover linguistic features from syntactic to semantic, provide practical recipes with pattern matching, and advance into the semantics world with word vectors. We will also discuss statistical information extraction methods in detail. We will cover a detailed case study that shows how to combine all spaCy features to create a real-world NLP pipeline.

This section comprises the following chapters:

Chapter 3, Linguistic Features
Chapter 4, Rule-Based Matching
Chapter 5, Working with Word Vectors and Semantic Similarity
Chapter 6, Putting Everything Together – Semantic Parsing with spaCy

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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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