Extracting celebrities from online discussions
Mathilde Forestier, Julien Velcin, Anna Stavrianou, Djamel Zighed
Online discussions became increasingly widespread
with the Web 2.0: no matter the distance, whether you know the
person or not, you can discuss and exchange ideas with people all
over the world through forums, blogs, and newsgroups. The news
websites have extensively used forums in order to encourage the
reader being a real participant in the information media. This
paper aims at automatically extracting the celebrities from such
discussions. We propose certain meta-criteria and we provide an
evaluation on a dataset of 35,175 posts written by 14,443 users.
The results show that one of the proposed meta-criteria succeeds
in extracting celebrities and allows for further improvements.
The 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012, 26-29 August, 2012, Kadir Has University, Istanbul, Turkey.