AI Research
Beyond Keywords: Leveraging Generative LLMs and Label Aggregation to Classify Economic Policy Uncertainty in News Articles
Harnessing LLMs to transform how public institutions monitor and classify economic policy uncertainty.
This research describes the adaptation of Large Language Models (LLMs) for economic monitoring in the public sector to automatically determine whether an article discusses Economic Policy Uncertanity (EPU) and to identify its specific type. Previous studies either rely on keyword...
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ArXiv CS.LG
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ArXiv CS.LG
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Generated insight by OnAirToday AI
This research signifies a shift from rigid keyword-based classification to nuanced, context-aware analysis of economic indicators within news discourse. By leveraging LLMs and label aggregation, the approach drastically reduces manual effort while increasing the granularity of complex policy monitoring.
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