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Mastering spaCy
Mastering spaCy

Mastering spaCy: Build structured NLP solutions with custom components and models powered by spacy-llm , Second Edition

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Profile Icon Déborah Mesquita Profile Icon Duygu Altınok
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$27.99 $31.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
eBook Feb 2025 238 pages 2nd Edition
eBook
$27.99 $31.99
Paperback
$39.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Déborah Mesquita Profile Icon Duygu Altınok
Arrow right icon
$27.99 $31.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
eBook Feb 2025 238 pages 2nd Edition
eBook
$27.99 $31.99
Paperback
$39.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$27.99 $31.99
Paperback
$39.99
Subscription
Free Trial
Renews at $19.99p/m

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Mastering spaCy

Part 1: Getting Started with spaCy

This section will introduce the basics of Natural Language Processing (NLP) with spaCy and guide you through the initial steps of setting up your environment. You’ll start by learning the core functionalities of spaCy, including its processing pipelines and data structures, providing a solid foundation for the more advanced topics that follow.

This part has the following chapters:

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Key benefits

  • Build end-to-end NLP workflows, from local development to production, using Weasel and FastAPI
  • Master no-training NLP development with spacy-llm, covering everything from prompt engineering to custom tasks
  • Create advanced NLP solutions, including custom components and neural coreference resolution
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Mastering spaCy, Second Edition is your comprehensive guide to building sophisticated NLP applications using the spaCy ecosystem. This revised edition builds on the expertise of Duygu Altinok, a seasoned NLP engineer and spaCy contributor, and introduces new chapters by Déborah Mesquita, a data science educator and consultant known for making complex concepts accessible. This edition embraces the latest advancements in NLP, featuring chapters on large language models with spacy-llm, transformer integration, and end-to-end workflow management with Weasel. You’ll learn how to enhance NLP tasks using LLMs, streamline workflows using Weasel, and integrate spaCy with third-party libraries like Streamlit, FastAPI, and DVC. From training custom Named Entity Recognition (NER) pipelines to categorizing emotions in Reddit posts, this book covers advanced topics such as text classification and coreference resolution. Starting with the fundamentals—tokenization, NER, and dependency parsing—you’ll explore more advanced topics like creating custom components, training domain-specific models, and building scalable NLP workflows. Through practical examples, clear explanations, tips, and tricks, this book will equip you to build robust NLP pipelines and seamlessly integrate them into web applications for end-to-end solutions.

Who is this book for?

This book is for NLP engineers, machine learning developers, and LLM engineers looking to build production-grade language processing solutions. Not just professionals working with language models and NLP pipelines but software engineers transitioning into NLP development will also find this book valuable. Basic Python programming knowledge and familiarity with NLP concepts is recommended to leverage spaCy's latest capabilities.

What you will learn

  • Apply transformer models and fine-tune them for specialized NLP tasks
  • Master spaCy core functionalities including data structures and processing pipelines
  • Develop custom pipeline components and semantic extractors for domain-specific needs
  • Build scalable applications by integrating spaCy with FastAPI, Streamlit, and DVC
  • Master advanced spaCy features including coreference resolution and neural pipeline components
  • Train domain-specific models, including NER and coreference resolution
  • Prototype rapidly with spacy-llm and develop custom LLM tasks

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Feb 14, 2025
Length: 238 pages
Edition : 2nd
Language : English
ISBN-13 : 9781835880470
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Product Details

Publication date : Feb 14, 2025
Length: 238 pages
Edition : 2nd
Language : English
ISBN-13 : 9781835880470
Category :
Languages :
Concepts :
Tools :

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Table of Contents

16 Chapters
Part 1: Getting Started with spaCy Chevron down icon Chevron up icon
Chapter 1: Getting Started with spaCy Chevron down icon Chevron up icon
Chapter 2: Core Operations with spaCy Chevron down icon Chevron up icon
Part 2: Advanced Linguistic and Semantic Analysis Chevron down icon Chevron up icon
Chapter 3: Extracting Linguistic Features Chevron down icon Chevron up icon
Chapter 4: Mastering Rule-Based Matching Chevron down icon Chevron up icon
Chapter 5: Extracting Semantic Representations with spaCy Pipelines Chevron down icon Chevron up icon
Chapter 6: Utilizing spaCy with Transformers Chevron down icon Chevron up icon
Part 3: Customizing and Integrating NLP Workflows Chevron down icon Chevron up icon
Chapter 7: Enhancing NLP Tasks Using LLMs with spacy-llm Chevron down icon Chevron up icon
Chapter 8: Training an NER Component with Your Own Data Chevron down icon Chevron up icon
Chapter 9: Creating End-to-End spaCy Workflows with Weasel Chevron down icon Chevron up icon
Chapter 10: Training an Entity Linker Model with spaCy Chevron down icon Chevron up icon
Chapter 11: Integrating spaCy with Third-Party Libraries Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

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