Multifaceted analysis of news articles by using semantic annotated information
Masaharu Yoshioka, Noriko Kando · 2012
We propose a novel framework that enables multifaceted analysis of news articles. This system uses semantic annotated information (e.g., person, place) as facets and can be used to construct structured queries for comparing the differences between sets of articles.