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42-entity-extractor

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Extract page entities to boost topical authority.

Data & Analytics#ai#knowledge-graph#spaCy#content-audit#entity-extraction#ner#topical-authority
Authorchapter42
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Named Entity Recognition across page content to identify and count entities (persons, organizations, locations, products) and provide optional AI-driven relationship mapping and Wikipedia URL resolution, enabling deeper topical authority analysis.

Core Features & Use Cases

  • NER across page content: extract entities with frequency counts and per-page context.
  • AI-relations (optional): map relationships between entities and link to Wikipedia pages for knowledge graph alignment.
  • Topical authority & content audits: identify coverage gaps and internal linking opportunities based on entity distribution.
  • Output reports: generate an ENTITY-REPORT.md with per-page and global aggregates ready for dashboards or content briefs.

Quick Start

Execute the entity-extractor on a URL or CSV to generate an entity report.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: 42-entity-extractor
Download link: https://github.com/chapter42/SEO-Skills-42/archive/main.zip#42-entity-extractor

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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