The Transformation of Self Employment
February 2022
Working Paper Number:
CES-22-03
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.
:
investment,
enterprise,
employed,
entrepreneurial,
startup,
venture,
entrepreneur,
business startups,
entrepreneurship,
finance,
proprietor,
capital,
rural,
wealth,
franchising,
asset
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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.
:
Longitudinal Business Database,
Decennial Census,
American Community Survey,
Special Sworn Status,
Census Bureau Disclosure Review Board,
Survey of Business Owners,
2010 Census,
Integrated Public Use Microdata Series,
Business Dynamics Statistics,
Federal Statistical Research Data Center,
Annual Survey of Entrepreneurs
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