JERARTOP: A New Topic Detection System
作者： Aurora Pons-Porrata , Rafael Berlanga-Llavori , José Ruiz-Shulcloper , Juan Manuel Pérez-Martínez
DOI: 10.1007/978-3-540-30463-0_56
关键词:
摘要: In this paper we present an on-line detection system, named JERARTOP, which goes beyond traditional systems, because it generates the implicit knowledge of a stream documents. This is expressed as taxonomy topics/events, automatically built by system in incremental way. Moreover, proposed also annotates each detected topic using set predefined subjects, well provides summary for topic. The experimental results demonstrate its usefulness and effectiveness system.
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sci-hub.se 参考文章(9)
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