ArticlePatterns (New York, N.Y.)2023
Occupational models from 42 million unstructured job postings.
Article in Patterns (New York, N.Y.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Understanding core competencies of older adult care workers from the perspectives of the employer: automated content analysis of job advertisements.Frontiers in public health · 2026Article
- Occupational models from 42 million unstructured job postings.Patterns (New York, N.Y.) · 2023Article
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Authors and funding
8 authors.
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Abstract
Structuring jobs into occupations is the first step for analysis tasks in many fields of research, including economics and public health, as well as for practical applications like matching job seekers to available jobs. We present a data resource, derived with natural language processing techniques from over 42 million unstructured job postings in the National Labor Exchange, that empirically models the associations between occupation codes (estimated initially by the Standardized Occupation Coding for Computer-assisted Epidemiological Research method), skill keywords, job titles, and full-text job descriptions in the United States during the years 2019 and 2021. We model the probability that a job title is associated with an occupation code and that a job description is associated with skill keywords and occupation codes. Our models are openly available in the
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