VISUALIZATION OF NEWS ARTICLES (original) (raw)

2000

Abstract

This paper presents a system for visualization of lar ge amounts of new stories. In the first phase, the new stories are preprocessed for the purpose of name -entity extraction. Next, a graph of relationships between the extracted name entities is created, where each name entity represents one vertex in the graph and two name entities are connected if they

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