Integrated Longitudinal Employee-Employer Data for the United States
May 2004
Working Paper Number:
tp-2004-02
Abstract
Document Tags and Keywords
Keywords
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keyword extraction tool that utilizes BERT embeddings to ensure high-quality and contextually relevant
keywords.
By analyzing the content of working papers, KeyBERT identifies terms and phrases that capture the essence of the
text, highlighting the most significant topics and trends. This approach not only enhances searchability but
provides connections that go beyond potentially domain-specific author-defined keywords.
:
industrial,
earnings,
employ,
employee,
labor,
job,
workplace,
workforce,
hiring,
worker,
employing,
salary,
hire,
occupation,
workers earnings,
layoff,
longitudinal employer,
employee data
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Tags are automatically generated using a pretrained language model from spaCy, which excels at
several tasks, including entity tagging.
The model is able to label words and phrases by part-of-speech,
including "organizations." By filtering for frequent words and phrases labeled as "organizations", papers are
identified to contain references to specific institutions, datasets, and other organizations.
:
Center for Economic Studies,
Research Data Center,
Longitudinal Employer Household Dynamics,
LEHD Program,
Quarterly Workforce Indicators
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