Clustering and Mapping Violence News Events

نویسندگان

  • Syed Toufeeq Ahmed
  • Sukru Tikves
  • Hasan Davulcu
چکیده

It is difficult to follow the entirity of the global of news sources , and the events happening everyday. If an analyst in her area has to follow and map all these according to the timeline they happen, the task quickly becomes overwhelming. We present an online tool which attempts to ease the analyst’s task of finding all news articles about an event, and sorting and mapping them on a timeline. We implemented an incremental clustering algorithm working on real-time incoming news, experimenting with different feature sets, including named entities and sentence overlap methods. We evaluated these approaches using Document Understand Conference (DUC) datasets

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تاریخ انتشار 2010