nlpia

Why we included this project

This is the companion codebase for the book Natural Language Processing in Action, and it works well as a hands-on way to learn NLP. Instead of a dry reference, it gives you runnable Jupyter notebooks and a small Python package that take you through real text-processing pipelines, from tokenization and vectorization up to chatbots and deep-learning models. The step-by-step setup and working examples help you move from reading about concepts to actually running them. The code is community-driven, so it reflects contributions from readers rather than one author's take. It is not a production library, but for onboarding developers into NLP it is a solid, self-contained teaching resource.