Quantitative text analysis, electoral competition, democratic representation, computational political science

Hauke Licht is a postdoctoral researcher at the CCCP (Cologne Center for Comparative Politics) in the ERC-funded MINORITYRULE project lead by Prof. Dr. Proksch. In his research, he develops and applies text-as-data methods to study electoral competition and democratic representation. He has a particularly strong interest in applications to multilingual text data and methods at the intersection of quantitative political text analysis, natural language processing, and machine learning.

Published papers

• Cross-Lingual Classification of Political Texts Using Multilingual Sentence Embeddings

  Licht, H. (2023). Cross-Lingual Classification of Political Texts Using Multilingual Sentence Embeddings. Political Analysis.

Discussion papers

• Who are They Talking About? Detecting Mentions of Social Groups in Political Texts with Supervised Learning

• No More Cost in Translation: Validating Open-Source Machine Translation for Quantitative Text Analysis