practical-nlp/practical-nlp-code resource

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1461 stars · 642 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

The official companion code repository for the O'Reilly book 'Practical Natural Language Processing', containing Jupyter notebooks organized chapter-by-chapter covering NLP pipelines, text representation, and text classification. It is a learning resource for practitioners building real-world NLP systems rather than a reusable software library.

Use cases

• learn practical nlp from a book with runnable code
• jupyter notebooks for text classification examples
• understand how to build an nlp pipeline end to end
• study text representation techniques like embeddings and tf-idf
• course material for teaching applied natural language processing
• examples of adapting nlp to domains like healthcare and fake news detection

When to choose

• you are reading the Practical NLP book and want to follow along with code
• you want hands-on notebooks for learning applied NLP concepts
• you are an educator looking for structured NLP course material

When to avoid

• you need a production-ready NLP library to import into your project
• you need up-to-date code on modern TensorFlow or recent Python versions without refactoring
• you want a maintained tool rather than book companion notebooks

Facets

learning-resource · maturity maintenance

nlp machine-learning data-science machine-learning tutorials education python cross-platform jupyter-notebooks book-companion oreilly text-classification text-representation nlp-pipeline natural-language-processing linux

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