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Skills Extractor v1.0.1 documentation
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Skills Extractor v1.0.1 documentation
  • Skills Extractor
  • Custom Usage
  • Pipeline summary and metrics
  • Model Cards
  • Entity Labelling
  • The ExtractSkills class
  • The MIT License (MIT)
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  • Skills Extractor
    • Welcome to Nesta’s Skills Extractor Library
    • Installation
      • AWS CLI
    • TL;DR: Using Nesta’s Skills Extractor library
      • 1. Extract AND map skills
      • 2. Extract skills
      • 3. Map skills
    • App
    • Development
      • Setup
      • Project structure
      • Testing
      • Analysis
      • Contributor guidelines
  • Custom Usage
    • Configuration files
      • Predefined configurations
      • Configuration definitions
    • Mapping to your own taxonomy
      • Format your taxonomy
      • Define your own configuration file
  • Pipeline summary and metrics
    • Intended Use
    • Out of Scope Uses
    • Metrics
      • Comparison 1 - Top skill groups per occupation comparison to ESCO essential skill groups per occupation
      • Comparison 2 - Degree of overlap between Lightcast’s extracted skills and our Lightcast skills
      • Evaluation 1 - Manual judgement of false positive rate
      • Evaluation 2 - Manual judgement of skills extraction and mapping quality
  • Model Cards
    • Model Card: Named Entity Recognition Model
      • Summary
      • Training
      • NER Metrics
      • Multiskill Metrics
      • Caveats and Recommendations
    • Model Card: Skills to Taxonomy Mapping
      • Summary
      • Model Factors
      • Caveats and Recommendations
  • Entity Labelling
    • Training dataset
  • The ExtractSkills class
    • ExtractSkills
      • ExtractSkills.load()
      • ExtractSkills.extract_skills()
      • ExtractSkills.get_skills()
      • ExtractSkills.map_skills()
      • ExtractSkills.format_skills()
  • The MIT License (MIT)
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Skills Extractor
Copyright © 2022, Liz Gallagher, India Kerle
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