practical-nlp/practical-nlp-code

Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media

51
/ 100
Established

This project provides practical, hands-on code examples for building real-world Natural Language Processing (NLP) systems. It takes raw text data and demonstrates how to process it to produce insights, classifications, or even conversational agents. Data scientists, machine learning engineers, and NLP practitioners can use these examples to understand and implement various NLP tasks.

1,437 stars. No commits in the last 6 months.

Use this if you are a developer looking for concrete, executable examples and templates to build or enhance NLP features in your applications or research.

Not ideal if you are a business user or non-technical professional looking for a ready-to-use application or a low-code/no-code solution for text analysis.

data science machine learning engineering text analytics AI development software engineering
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

How are scores calculated?

Stars

1,437

Forks

649

Language

Jupyter Notebook

License

MIT

Last pushed

Sep 29, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/practical-nlp/practical-nlp-code"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.