Background: Graph analysis algorithms such as PageRank and HITS have been successful in Web environments because they are able to extract important inter-document relationships fr...
We describe improved mechanisms to accurately classify days when news for topics receive unexpectedly high amount of coverage. We further investigate the factors which influence t...
Most approaches to topic modeling assume an independence between documents that is frequently violated. We present an topic model that makes use of one or more user-specified grap...
A Feature Model (FM) is a compact representation of all the products of a software product line. The automated extraction of information from FMs is a thriving research topic invo...
Sergio Segura, Robert M. Hierons, David Benavides,...
The latent topic model plays an important role in the unsupervised learning from a corpus, which provides a probabilistic interpretation of the corpus in terms of the latent topic...