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arXiv AI By Paul Trust

Beyond Keywords: Leveraging Generative LLMs and Label Aggregation to Classify Economic Policy Uncertainty in News Articles

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The paper presents a method that uses generative large language models (LLMs) to automatically classify news articles as discussing Economic Policy Uncertainty (EPU) and to identify the specific type of EPU. Unlike earlier keyword‑based or heavily supervised machine learning approaches, this work employs weak supervision by prompting LLMs to generate synthetic labels, making the process cost‑effective and scalable. It also introduces techniques for multi‑label and hierarchical classification of EPU‑related articles.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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