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spaCy

spaCy is a free library for advanced Natural Language Processing (NLP) in Python. It’s designed specifically for production use and helps you build applications that process and "understand" large volumes of text. It can be used to build information extraction or natural language understanding systems.

Here are 2,007 public repositories matching this topic...

rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

  • Updated Aug 26, 2025
  • Python

An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.

  • Updated Sep 1, 2025
  • Python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

  • Updated Mar 31, 2024
  • Jupyter Notebook
text-analytics-with-python

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

  • Updated Dec 24, 2020
  • Jupyter Notebook
refinery

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

  • Updated Dec 9, 2024
  • Python

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