2 citations · 2 across the 2 of their papers we have counts for
2 papers
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…