Building a Custom Taxonomy of AI Skills and Tasks from the Ground Up with Job Postings
Researchers have developed a blueprint called TaxonomyBuilder to systematically construct taxonomies of AI skills from job postings. Their study, using two large job posting corpora, found that filtering input data leads to better domain-specific coverage than using unfiltered data for clustering and LLM-enhanced labeling tools. This approach aims to efficiently map complex domains like AI skills in the workplace. AI
IMPACT Provides a structured method for understanding and categorizing AI skills, potentially aiding in workforce development and talent acquisition.