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# Populism Detection & Summarization
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# Overall Summary:
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I developed a transformer-based model that analyzes political press releases to both summarize content and detect populist rhetoric. Using GPT-4o on a dataset of 10,000 releases from 12 European countries, I engineered prompts to label where populist framing occurs—such as “people vs. elites” or anti-institutional language—and to generate concise explanations of why certain phrases qualify as populist. The final model, built on a fine-tuned BART architecture, allows users to quickly identify when populism is present in political discourse and understand the reasoning behind that classification.
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# Populism Detection & Summarization
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