Mastering spaCy, 2nd Edition

eBook Details:

• Paperback: 238 pages
• Publisher: WOW! eBook; 2nd edition (February 14, 2025)
• Language: English
• ISBN-10: 1835880479
• ISBN-13: 978-1835880463

eBook Description:

Mastering spaCy, 2nd Edition: Build structured NLP solutions with custom components and models powered by spacy-llm. Discover how to master advanced spaCy techniques, including custom pipelines, LLM integration, and model training, to build NLP solutions efficiently and effectively.

Mastering spaCy, Second Edition is your comprehensive guide to building sophisticated NLP applications using the spaCy ecosystem. This revised Mastering spaCy, 2nd Edition embraces the latest advancements in NLP, featuring new chapters on Large Language Models with spaCy-LLM, transformers integration, and end-to-end workflow management with Weasel.

With this new Mastering spaCy, 2nd Edition you’ll learn to enhance NLP tasks using LLMs with spaCy-llm, manage end-to-end workflows using Weasel and integrating spaCy with third-party libraries like Streamlit, FastAPI, and DVC. From training custom named entity recognition (NER) pipelines to categorizing emotions in Reddit posts, readers will explore advanced topics like text classification and coreference resolution. This book takes you on a journey through spaCy’s capabilities, starting with the fundamentals of NLP, such as tokenization, named entity recognition, and dependency parsing. As you progress, you’ll delve into advanced topics like creating custom components, training domain-specific models, and building scalable NLP workflows.

• 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

By end of the Mastering spaCy, Second Edition book, through practical examples, clear explanations, tips and tricks you will be empowered to build robust NLP pipelines and integrate them with web applications to build end-to-end solutions.