How to Discern Important Urgent News?
Computation and Language
2024-02-19 v1
Abstract
We found that a simple property of clusters in a clustered dataset of news correlate strongly with importance and urgency of news (IUN) as assessed by LLM. We verified our finding across different news datasets, dataset sizes, clustering algorithms and embeddings. The found correlation should allow using clustering (as an alternative to LLM) for identifying the most important urgent news, or for filtering out unimportant articles.
Keywords
Cite
@article{arxiv.2402.10302,
title = {How to Discern Important Urgent News?},
author = {Oleg Vasilyev and John Bohannon},
journal= {arXiv preprint arXiv:2402.10302},
year = {2024}
}
Comments
12 pages, 12 figures, 12 tables