named-entity-extractor
CommunityExtracts key entities from text.
Data & Analytics#information retrieval#nlp#data enrichment#text analysis#entity extraction#named entity recognition
Authordkyazzentwatwa
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the identification and extraction of crucial named entities from unstructured text, making information more accessible and actionable.
Core Features & Use Cases
- Entity Recognition: Identifies people, organizations, locations, dates, and more.
- Multiple Modes: Offers both accurate spaCy models and faster regex-based extraction.
- Use Case: Analyze customer feedback to quickly identify mentioned products, people, and locations for targeted follow-up or market research.
Quick Start
Use the named-entity-extractor skill to extract all people and organizations from the provided text.
Dependency Matrix
Required Modules
spacypandas
Components
scriptsreferences
💻 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: named-entity-extractor Download link: https://github.com/dkyazzentwatwa/chatgpt-skills/archive/main.zip#named-entity-extractor Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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