[PR #1581] Add Pattern #1378

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GiteaMirror · 2025-11-06T13:15:03-06:00

GiteaMirror commented

2025-11-06 13:15:03 -06:00

📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/1581
Author: @ZJWang9928
Created: 7/28/2020
Status: 🔄 Open

Base: master ← Head: master

📝 Commits (1)

2c599b4 Add Pattern

📊 Changes

1 file changed (+1 additions, -0 deletions)

View changed files

📝 README.md (+1 -0)

📄 Description

What is this Python project?

Pattern is a web mining module for Python. It has tools for:

Data Mining: web services (Google, Twitter, Wikipedia), web crawler, HTML DOM parser
Natural Language Processing: part-of-speech taggers, n-gram search, sentiment analysis, WordNet
Machine Learning: vector space model, clustering, classification (KNN, SVM, Perceptron)
Network Analysis: graph centrality and visualization.

What's the difference between this Python project and similar ones?

It is well documented, thoroughly tested with 350+ unit tests and comes bundled with 50+ examples.

Quite helpful.

--

Anyone who agrees with this pull request could submit an Approve review to it.

_{🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.}

## 📋 Pull Request Information **Original PR:** https://github.com/vinta/awesome-python/pull/1581 **Author:** [@ZJWang9928](https://github.com/ZJWang9928) **Created:** 7/28/2020 **Status:** 🔄 Open **Base:** `master` ← **Head:** `master` --- ### 📝 Commits (1) - [`2c599b4`](https://github.com/vinta/awesome-python/commit/2c599b464fa29328174cb2f46bed453db882224c) Add Pattern ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description ## What is this Python project? Pattern is a web mining module for Python. It has tools for: 1. Data Mining: web services (Google, Twitter, Wikipedia), web crawler, HTML DOM parser 2. Natural Language Processing: part-of-speech taggers, n-gram search, sentiment analysis, WordNet 3. Machine Learning: vector space model, clustering, classification (KNN, SVM, Perceptron) 4. Network Analysis: graph centrality and visualization. ## What's the difference between this Python project and similar ones? It is well documented, thoroughly tested with 350+ unit tests and comes bundled with 50+ examples. Quite helpful. -- Anyone who agrees with this pull request could submit an *Approve* review to it. --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>

GiteaMirror added the pull-request label 2025-11-06 13:15:03 -06:00

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Reference: github-starred/awesome-python#1378