Pattern

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Pattern is an AI Agents & Automation tool that provides a web mining module for Python. It includes tools for scraping, natural language processing, machine learning, network analysis, and visualization.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is pattern?

Pattern is a comprehensive web mining module for Python, offering a versatile set of tools for various data-related tasks. It enables data mining through web services like Google, Twitter, and Wikipedia, alongside a web crawler and HTML DOM parser. For natural language processing, it features part-of-speech taggers, n-gram search, sentiment analysis, and WordNet integration. The module also supports machine learning with a vector space model, clustering, and classification algorithms such as KNN, SVM, and Perceptron. Additionally, Pattern provides network analysis capabilities, including graph centrality and visualization. It is well-documented, thoroughly tested with over 350 unit tests, and comes bundled with more than 50 examples, making it a robust solution for developers and data scientists.

Best used for

Ideal for developers and data scientists who need to extract data from the web, perform natural language processing on text, and apply machine learning models. Especially valuable for building custom web mining applications and analyzing complex datasets within a Python environment.

Common actions

mine web data

process natural language

apply machine learning

analyze networks

visualize data

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Capabilities

Key features

Web services data mining
Web crawler
HTML DOM parser
Part-of-speech taggers
Sentiment analysis
Machine learning algorithms
Network analysis

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What Python versions does Pattern support?

Pattern supports Python 2.7 and Python 3.6. Users can install it via pip or by placing the module folder in their Python environment's site-packages directory, ensuring compatibility with common Python setups.

What kind of machine learning capabilities does Pattern offer?

Pattern includes machine learning tools such as a vector space model, clustering algorithms, and classification methods like K-Nearest Neighbors (KNN), Support Vector Machines (SVM), and Perceptron. These enable tasks like text classification and data categorization.

Can Pattern be used for sentiment analysis?

Yes, Pattern provides tools for natural language processing, including sentiment analysis. This allows users to determine the emotional tone behind text data, which is useful for analyzing social media, reviews, or other textual content.

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