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Dissertation 4.8

Natural Language Processing for Insurance Underwriters: Human Factors And Usability | Evidence from North America

10
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~ 10–17 mins
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Logistics Telemedicine Epidemiology
Abstract

This dissertation investigates “Natural Language Processing for Insurance Underwriters: Human Factors And Usability | Evidence from North America” using a randomized controlled trial design. Through a economic lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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Natural Language Processing for Insurance Underwriters: Human Factors And Usability | Evidence from North America

ABSTRACT
Natural Language Processing for Insurance Underwriters: Human Factors And Usability | Evidence from North America is unpacked across themes: costs, ethics, security, and interoperability. Limitations and future research paths are noted.
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