Job Demand Estimation Using Text Embeddings of Patent Classification Codes and Occupational Data

This study presents a novel method for estimating job demand by analyzing the relationship between technological advancements and occupational requirements through patent data. By integrating textual data from the United States Patent and Trademark Office (USPTO) and the Occupational Information Net...

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Bibliographic Details
Main Authors: Taehyun Ha, Ahram Moon
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10896671/
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