Parlasent: mapping sentiment in political discourse with large language models

Authors

Michal Mocht̆ak (ORCID: https://orcid.org/0000-0001-5598-5642)
Nikola Ljubešić (ORCID: https://orcid.org/0000-0001-7169-9152)
Taja Kuzman (ORCID: https://orcid.org/0000-0001-7436-9896)
Peter Rupnik (ORCID: https://orcid.org/0009-0000-9700-3686)

Institutions

Radboud University Nijmegen (NL)
University of Ljubljana (SI)
Jožef Stefan Institute (SI)
Institute of Contemporary History (SI)

Publication Details

Journal: Political Research Exchange
Published: 2025-06-02
DOI: https://doi.org/10.1080/2474736x.2025.2508377
Primary Topic: Computational and Text Analysis Methods
Type: article
Field-Weighted Citation Impact: 0.00

Funders

European Commission
HORIZON EUROPE Framework Programme

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article

Parlasent: mapping sentiment in political discourse with large language models

Michal Mocht̆ak, Nikola Ljubešić, Taja Kuzman, Peter Rupnik

Jun 2, 2025

Political Research Exchange

Computational and Text Analysis Methods

article

Parlasent: mapping sentiment in political discourse with large language models

Michal Mocht̆ak, Nikola Ljubešić, Taja Kuzman, Peter Rupnik

June 2, 2025article en

Abstract

No abstract available for this paper.

Political Research ExchangeVol. 7(1)

Radboud University Nijmegen (NL), University of Ljubljana (SI), Jožef Stefan Institute (SI), Institute of Contemporary History (SI)

European Commission, HORIZON EUROPE Framework Programme

Reduced inequalities

Openalex Percentile: Top 83%

Computational and Text Analysis Methods

DOI Open Access PDF OpenAlex

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