Paper Info
Title
Multifaceted analysis of news articles by using semantic annotated information
Abstract
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.
Year
DOI
Venue
2012
10.1145/2390148.2390159
ESAIR
Keywords
Field
DocType
multifaceted analysis,semantic annotated information,novel framework,news article,text mining
Text mining,Information retrieval,Computer science
Conference
Citations 
PageRank 
References 
3
0.67
3
Authors
2
Name
Order
Citations
PageRank
Masaharu Yoshioka136841.40
Noriko Kando21474209.89