Resolving the Tension Between Access and Confidentiality: Past Experience and Future Plans at the U.S. Census Bureau
September 2009
Working Paper Number:
CES-09-33
Abstract
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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.
:
economist,
data,
statistical,
data census,
report,
census data,
survey,
agency,
respondent,
statistician,
state,
trend,
economic census,
policymakers,
federal,
population,
citizen,
census bureau,
use census,
census survey,
census records
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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.
:
Internal Revenue Service,
Social Security Administration,
National Science Foundation,
Center for Economic Studies,
Securities and Exchange Commission,
Bureau of Economic Analysis,
Census Bureau Longitudinal Business Database,
Foreign Direct Investment,
Organization for Economic Cooperation and Development,
Statistics Canada,
Longitudinal Business Database,
Bureau of Labor,
Decennial Census,
National Research Council,
Cornell University,
Unemployment Insurance,
Research Data Center,
American Community Survey,
Longitudinal Employer Household Dynamics,
Agency for Healthcare Research and Quality,
Census Bureau Business Register,
Business Register,
National Opinion Research Center,
National Center for Health Statistics,
Public Use Micro Sample,
Quarterly Workforce Indicators,
Special Sworn Status,
European Union,
Local Employment Dynamics,
Census Bureau Disclosure Review Board,
Business Dynamics Statistics,
Census Bureau Business Dynamics Statistics,
Stanford University
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