Person Matching in Historical Files using the Census Bureau's Person Validation System
September 2014
Working Paper Number:
carra-2014-11
Abstract
Document Tags and Keywords
Keywords
Keywords are automatically generated using KeyBERT, a powerful and innovative
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.
:
data,
database,
census data,
census research,
respondent,
record,
matched,
matching,
ancestry,
associate,
census bureau,
census file,
records census,
use census,
census use,
datasets,
identifier,
census records,
linkage
Tags
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.
:
Social Security Administration,
Service Annual Survey,
1940 Census,
American Community Survey,
Social Security Number,
Protected Identification Key,
National Opinion Research Center,
2010 Census,
Minnesota Population Center,
PIKed,
Person Validation System,
Person Identification Validation System,
Center for Administrative Records Research and Applications,
Census Numident,
Census Bureau Person Identification Validation System,
SSA Numident,
Personally Identifiable Information
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