How SkyHive Extracts Skills and Occupations from Job Postings

In this article

1. SkyHive’s Global Reach
2. SkyHive’s Data Footprint

SkyHive uses advanced techniques to transform raw job posting data into actionable insights:

• Natural Language Processing (NLP): SkyHive applies NLP to parse and analyze the text in job postings. This process breaks text into smaller components, such as sentences and words, to extract meaningful information efficiently.
• Machine Learning Models: SkyHive leverages machine learning to identify and categorize skills within job postings. These models, trained on large datasets, detect patterns and associations between terms and the skills they represent.
  Semantic Analysis: Through semantic analysis, SkyHive understands the context of words and phrases. For example, it differentiates between “Java” as a programming language and “Java” as a location, ensuring precise identification of skills in various contexts.
• Taxonomy Mapping: Once extracted, skills are mapped using SkyHive’s taxonomy, which serves as the foundational structure for classification. The dynamic integration of real-time labor market data through the Knowledge Graph ensures that skills are always organized
  in a searchable and up-to-date format.

Note: SkyHive categorizes skills into human, technical, and general to reveal how each role blends technical requirements with the “soft skills” needed for collaboration and business success. SkyHive’s Knowledge Graph includes over 50,000 skills.

SkyHive’s Global Reach

SkyHive operates globally, seamlessly interpreting and analyzing skills and occupations across multiple languages. Our knowledge graph functions end-to-end in over 16 languages, enabling not just translation but also contextual interpretation of skills and their meanings in diverse cultural
and linguistic contexts.

Supported languages include:

• Arabic
• Chinese (Simplified, Traditional)
• Dutch
• French (Canada, France)
• German
• Italian
• Japanese
• Korean
• Portuguese (Brazil, Portugal)
• Spanish (Latin America, Spain)
• English (U.K., U.S.)

This allows SkyHive to provide deep insights into skills and occupations across over 200 countries and territories. This ensures skills are interpreted accurately and consistently, helping organizations align talent strategies across global markets.

SkyHive’s Data Footprint

5 months ago