cornelius-erfort/partypress
Political parties emphasize different issues in their public communication efforts to address the topics of the day and to strengthen their policy profiles. Here, we develop and evaluate models to automatically classify parties' press releases into issue categories to dynamically measure issue attention.
This project helps political scientists and researchers automatically categorize political parties' press releases. It takes raw text from press releases and classifies them into predefined issue categories, such as immigration or environment. This allows researchers to measure how much attention different parties give to specific issues over time and compare their policy agendas.
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Use this if you need to analyze large volumes of political party communications to track issue priorities and policy agendas.
Not ideal if you're looking for the full dataset of press releases, as this project contains only the classification models.
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Sep 26, 2024
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