Explosion builds developer tools for AI, Machine Learning and Natural Language Processing.

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Tasks

Select...Code Generation, Coreference Resolution, Dependency Parsing, Distillation, Embeddings & Vectors, Entity Linking, Evaluation, Image Classification, Image Segmentation, Layout Analysis, Lemmatization, Named Entity Recognition, Object Detection, Optical Character Recognition (OCR), Part-of-Speech Tagging, PII Anonymization, Question Answering, Relation Extraction, Retrieval-Augmented Generation (RAG), Rule-Based Matching, Span Categorization, Text Classification, Text Generation, Tokenization, Weak Supervision

Authors

Select...Adriane Boyd, Ákos Kádár, Basile Dura, Chung-Fan Tsai, Damian Romero, Daniel de Kok, Duygu Altinok, Edward Schmuhl, Helena Steckmeister, India Kerle, Ines Montani, Kabir Khan, Lj Miranda, Madeesh Kannan, Magdalena Anioł, Matthew Honnibal, Paul O’Leary McCann, Peter Baumgartner, Philip Vollet, Raphael Mitsch, Rehan Ahmed, Richard Hudson, Ryan Wesslen, Sofie Van Landeghem, Victoria Slocum, Vincent D. Warmerdam, Vinit Ravishankar, Walter Henry

Mastering spaCy Déborah Mesquita, Duygu Altinok (Packt Publishing, 2025)

Build structured NLP solutions with custom components and models powered by LLMs. By end of the book you will be empowered to build robust NLP pipelines and integrate them with web applications to build end-to-end solutions.

spaCy Natural Language Processing: From Beginner to Advanced Guan Wang, Xiaoquan Kong (2024)

The first Chinese-language book on spaCy for beginners and experienced practitioners, covering traditional NLP techniques and how to leverage LLMs for various NLP tasks.

Introduction to Japanese Natural Language Processing Masato Hagiwara, Paul O’Leary McCann (2021)

A thorough guide for programmers working with Japanese text, covering fundamental issues like tokenization and recent research topics like generating natural language texts.

Mastering spaCy Duygu Altinok (Packt Publishing, 2021)

An end-to-end practical guide to implementing NLP applications using the Python ecosystem. By the end of this book, you'll be able to confidently use spaCy, including its linguistic features, word vectors, and classifiers, to create your own NLP apps.