Georgios Paltoglou

TL;DR: This technical report presents the work which has been carried out using Distributed Information Retrieval methods for federated search of patent documents for the passage retrieval starting from claims (patentability or novelty search) task and examines how DIR methods will perform if patents are topically organized using their IPC and if Dir methods can approximate the performance of a centralized index approach.

TL;DR: The algorithm functions by modeling each information source as an integral, using the relevance score and the intra-collection position of its sampled documents in reference to a centralized sample index and selects the collections that cover the largest area in the rank-relevance space.

TL;DR: In this article, the authors analyze emotionally annotated massive data from Internet relay chat (IRC) as well as from BBC forum website and model the dialogues between chat participants by assuming that the driving force for the discussion is the entropy growth of emotional probability distribution.

TL;DR: Initial results are presented, which confirm previous studies about the potential of using social media monitoring for branding purposes and provide strong indications that given the use of such services by millions of users, they can play a key role in supporting and enhancing important business processes.

TL;DR: It is shown that the initial set of comments given to a story has a substantial impact on the further "life" of the discussion: high negative average emotions in the first 10 comments lead to longer threads while the opposite situation results in shorter discussions.