naturalnode/natural

general natural language facilities for node

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Summary Information

Updated 8 minutes ago
Added to GitGenius on September 5th, 2026
Created on May 7th, 2011
Open Issues & Pull Requests: 86 (+0)
GitHub issues: Enabled
Number of forks: 852
Total Stargazers: 10,880 (+0)
Total Subscribers: 236 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 0.0 hours
Mean response time: 7.6 days
90th percentile: 21.2 days
Tracked items: 16

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Issue Activity (beta)

Open issues: 11
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 2,132 days
Stale 30+ days: 11
Stale 90+ days: 9

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • Bug (14)
  • Feature Request (1)
  • Help/Questions (1)

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Detailed Description

Natural is a natural language processing library for Node.js that provides a broad range of facilities for analyzing and manipulating text.

The library addresses the need for NLP capabilities in JavaScript server environments by bundling multiple text processing functions into a single package. It includes stemming algorithms, tokenization, classification, and integration with WordNet for semantic analysis. Developers can use these tools to build applications that understand and process human language without needing to integrate separate specialized libraries.

Natural suits projects where NLP functionality is needed within a Node.js application but full-featured Python ecosystems like NLTK are not practical. It works well for text analysis tasks, search enhancement, and language-aware features in web services. The library is general-purpose rather than specialized, making it appropriate for developers who need standard NLP operations without domain-specific tools.

The project shows consistent maintenance with regular updates addressing issues and dependencies. Development activity demonstrates ongoing attention to code quality and compatibility with current Node.js versions. The maintainers respond to community contributions and keep the library functional across platform changes.