One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
Automatically clustering web pages into semantic groups promises improved search and browsing on the web. In this paper, we demonstrate how user-generated tags from largescale soc...
Daniel Ramage, Paul Heymann, Christopher D. Mannin...
—In this paper we present a generic approach for summarising multilingual news clusters such as the ones produced by the Europe Media Monitor (EMM) system. It is generic because ...
Mijail Alexandrov Kabadjov, Josef Steinberger, Bru...
In this paper, we consider the problem of community detection in directed networks by using probabilistic models. Most existing probabilistic models for community detection are ei...
The recent explosion in the adoption of search engines and new media such as blogs and Twitter have facilitated faster propagation of news and rumors. How quickly does a piece of ...
Yasuko Matsubara, Yasushi Sakurai, B. Aditya Praka...