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Identifying Metaphoric Antonyms in a Corpus Analysis of Finance Articles

Identifying Metaphoric Antonyms in a Corpus Analysis of Finance Articles 2025

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The document presents a study on identifying metaphoric antonyms in financial articles, focusing on the UP-DOWN metaphorical opposition that underlies stock market language. It analyzes a corpus of over 17,000 finance articles to explore how people identify antonyms for verbs related to stock movements. Two studies are conducted: the first examines participants' choices of antonyms through free-generation and matching tasks, while the second correlates these choices with computational analyses of argument distributions. The findings suggest a moderate correlation between human responses and statistical measures, indicating that argument distributions can effectively predict commonly identified antonyms.

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