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Artículo
‘Long autonomy or long delay?’ The importance of domain in opinion mining
(Elsevier, 2013)
Nowadays, people do not only navigate the web, but they also contribute contents to the Internet. Among other things, they write their thoughts and opinions in review sites, forums, social networks, blogs and other ...
Artículo
Confianza y desconfianza en redes sociales: Detección de trolls
(Asociación de Técnicos de Informática (ATI), 2013)
Uno de los aspectos más importantes en la empresa 2.0 es la gestión de la reputación on line. En este trabajo, nos enfrentamos a los comportamientos deshonestos que se pueden llevar a cabo en la web 2.0 para alterar la ...
Artículo
A comparative study of classifier combination applied to NLP tasks
(Elsevier, 2013)
The paper is devoted to a comparative study of classifier combination methods, which have been successfully applied to multiple tasks including Natural Language Processing (NLP) tasks. There is variety of classifier combination ...
Artículo
Propagation of trust and distrust for the detection of trolls in a social network
(Elsevier, 2012)
Trust and Reputation Systems constitute an essential part of many social networks due to the great expansion of these on-line communities in the past few years. As a consequence of this growth, some users try to disturb ...
Artículo
PolarityRank: Finding an equilibrium between followers and contraries in a network
(Elsevier, 2012)
In this paper we present the relevance ranking algorithm named PolarityRank. This algorithm is inspired in PageRank, the webpage relevance calculus method used by Google, and generalizes it to deal with graphs having not ...
Artículo
PolaritySpam: Propagating Content-based Information Through a Web-Graph to Detect Web Spam
(ICIC International, 2012)
Spam web pages have become a problem for Information Retrieval systems due to the negative effects that this phenomenon can cause in their results. In this work we tackle the problem of detecting these pages with a ...
Artículo
InstanceRank: Bringing order to datasets
(Elsevier, 2010)
In this paper we present InstanceRank, a ranking algorithm that reflects the relevance of the instances within a dataset. InstanceRank applies a similar solution to that used by PageRank, the web pages ranking algorithm ...