most citedSemantic Scaling: Bayesian Ideal Point Estimates with Large Language Models

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cs.CL2024★ 2 cited

Semantic Scaling: Bayesian Ideal Point Estimates with Large Language Models

Michael Burnham

This paper introduces "Semantic Scaling," a novel method for ideal point estimation from text. I leverage large language models to classify documents based on their expressed stanc…

cs.CL2024

What is Sentiment Meant to Mean to Language Models?

Michael Burnham

Sentiment analysis is one of the most widely used techniques in text analysis. Recent advancements with Large Language Models have made it more accurate and accessible than ever, a…