From Categories to Spectrums: Improved PoliPrompt for Ordinal Classification

• In Event: Applications in Large Language Models 2

Brief Overview

This paper introduces a novel framework for text analysis that addresses key challenges in scaling and ordinal classification, particularly in mapping latent positions of texts—such as tweets, documents, or speeches—across one or more dimensions.

Author

• Menglin Liu, University of California-Davis