---
title: Scaling Political Actors with Embedding Representations
url: https://www.ml-quant.com/papers/ssrn/5132792/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 5132792
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5132792
featured: 2025-02-19
citations: unknown
topic: LLMs & Text
---


# Scaling Political Actors with Embedding Representations

A novel method using natural language processing enables a more comprehensive scaling of lawmakers and their parties, covering a wider array of issues and political theories, such as views on the EU and party populism.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5132792
- Identifier: SSRN 5132792
- Released: 2025-02-18
- First featured: Quant Letter No. 85 (2025-02-19): https://www.ml-quant.com/issues/2025-02-19/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: LLMs & Text

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