Finding the local angle in national news

S. O’Banion, L. Birnbaum, Scott Bradley
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引用次数: 0

Abstract

Journalists often localize news stories that are not explicitly about the community they serve by investigating and describing how those stories affect that community. This is, in essence, a form of personalization based not on a reader's personal interests, but rather on their ties to a geographic location. In this paper we present The Local Angle, an approach for automating the process of finding national and international news stories that are locally relevant. The Local Angle associates the people, companies, and organizations mentioned in news stories with geographic locations using semantic analysis tools and online knowledge bases. We describe the design and implementation of our prototype system that helps content curators and consumers discover articles that are of local interest even if they do not originate locally.
从国家新闻中找到地方视角
记者经常通过调查和描述这些故事如何影响他们所服务的社区,将那些不明确涉及该社区的新闻故事本地化。从本质上讲,这是一种个性化的形式,不是基于读者的个人兴趣,而是基于他们与地理位置的联系。在本文中,我们介绍了本地角度,这是一种自动化寻找与本地相关的国内和国际新闻故事的方法。Local Angle使用语义分析工具和在线知识库将新闻报道中提到的人、公司和组织与地理位置联系起来。我们描述了原型系统的设计和实现,该系统可以帮助内容管理员和消费者发现本地感兴趣的文章,即使它们不是本地原创的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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