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Using Natural Language Processing to understand topic prevalence in oral debates on AI held in the U.S. Congress and European Parliament.

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MPP-Master-Thesis

This GitHub Repo documents my Master Thesis, submitted in May 2022 at the Hertie School

Thesis title

Understanding topic prevalence in oral debates on Artificial Intelligence: A comparative Natural Language Processing analysis of European Parliament and U.S. Congress debates held in 2021

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c.kaiser@mpp.hertie-school.org

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Using Natural Language Processing to understand topic prevalence in oral debates on AI held in the U.S. Congress and European Parliament.

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natural-language-processing textanalysis aigovernance policyanalysis oraldebates

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