Founding Teams and Startup Performance
November 2019
Working Paper Number:
CES-19-32
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.
:
enterprise,
corporation,
organizational,
corporate,
ownership,
acquisition,
entrepreneurial,
startup,
venture,
proprietorship,
entrepreneur,
entrepreneurship,
shareholder,
proprietor,
funding,
founder
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.
:
Internal Revenue Service,
Company Organization Survey,
Longitudinal Business Database,
Employer Identification Numbers,
North American Industry Classification System,
Longitudinal Employer Household Dynamics,
Business Register,
W-2,
Census Bureau Disclosure Review Board,
Disclosure Review Board,
Indian Health Service,
George Mason University
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