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Pattern

Web mining module for Python: tools for scraping, natural language processing, and network analysis.

LicenseBSD-3-Clause
GitHub stars8.5k
Last commit6 days ago
Tags5 topics
Pattern ClipsWeb Mining EngineSentiment Crawler PythonMarketingSocial Graph Analysis
Overview

Why consider Pattern?

Pattern is an open-source web mining and NLP module for Python developed by the University of Antwerp (CLiPS). Pattern bundles web scrapers (Google, Twitter, Wikipedia), sentiment analysis engines, dependency tree parsers, and graph network visualization tools.

Guided learning

Learn Pattern by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Pattern

Pattern mines social networks and parses brand mentions across multilingual web articles.

Quickstart

bash
1pip install pattern
python
1from pattern.en import sentiment
2print(sentiment("The new product design is amazing and reliable!")) # (0.75, 0.9)

Pattern is licensed under the BSD 3-Clause License.

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Pattern FAQs

Pattern is listed as a Marketing tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Pattern is listed under the BSD-3-Clause license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Pattern is listed as an alternative to Sprout Social. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.