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Essay 4.9

Natural Language Processing for Insurance Underwriters: Interoperability | A event study methodology

27
Pages
Harvard
Style
~ 28–40 mins
Reading Time
Finance FinTech Public Policy
Abstract

This essay investigates “Natural Language Processing for Insurance Underwriters: Interoperability | A event study methodology” using a topic modeling on open datasets. Through a economic lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

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Natural Language Processing for Insurance Underwriters: Interoperability | A event study methodology

ABSTRACT
Natural Language Processing for Insurance Underwriters: Interoperability | A event study methodology is unpacked across themes: costs, benefits, change enablement, and ethics. Limitations and future research paths are noted.
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