Using LLMs to analyze how fictional character rhetoric shapes audience emotional responses, with insights into narrative persuasion and political violence.
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Mapping WTO dispute settlement networks with graph theory to reveal shifting power dynamics in international trade governance.
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Applying large language models to classify Taiwanese legislative candidates' manifestos and uncover how electoral reform shapes campaign strategy.
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Building an automatic NLP classifier for legislators' oral questions to enable large-scale analysis of parliamentary behavior.
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