Identification

Author

Pouliquen B, Hristo T, Martin A

Title

Extracting and learning social networks out of multilingual news

Year

2008

Publication type

In proceedings

Created

2014-07-07 20:51:52+00:00

Modified

2016-08-04 18:06:28.427627+00:00

Details

Organization

International Workshop (SoNET-08)

Publisher

SONET (SOcial NETworks)

Pages

13-16

Access

Language

English

URL http://publications.jrc.ec.europa.eu/repository/handle/JRC48864
Accessed

2016-08-04

Extended information

Abstract

Various kinds of social networks can be derived from the analysis of news articles. We present here our experience in building social networks by the extraction of relationships between entities all automatically derived from multilingual news articles. Unqualified relationships between persons can be extracted through simple co-occurrence statistics. Qualified relationships can be extracted using linguistic patterns. Our highly redundant sources (50,000 daily articles in 40 languages) are used to both validate our algorithms and strengthen pertinent relationships. Due to the amount of data we process these social networks provide a complex challenge for their useful visualization and navigation.