Papers with analyzing political discourse

1 papers
Using LLM for Improving Key Event Discovery: Temporal-Guided News Stream Clustering with Event Summaries (2023.findings-emnlp)

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Challenge: Using hierarchical Dirichlet processes, we characterize news articles associated with key events from news streams.
Approach: They propose a generic framework for news stream clustering that analyzes the temporal trend of news articles to automatically extract the underlying key news events that draw significant media attention.
Outcome: The proposed framework produces more coherent clusters based on event summaries . the proposed framework is a first step in a new field of news analysis .

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