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A Study on the Influence of Semantics on the Analysis of Micro-blog Tags in the Medical Domain

  • Carlos Vicient
  • Antonio Moreno
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8127)

Abstract

One current research topic in Knowledge Discovery is the analysis of the information provided by users in Web 2.0 social applications. In particular, some authors have devoted their attention to the analysis of micro-blogging messages in platforms like Twitter. A common shortcoming of most of the works in this field is their focus on a purely syntactical analysis. It can be argued that a proper semantic treatment of social tags should lead to more structured, meaningful and useful results that a mere syntactic-based approach. This work reports the analysis of a case study on medical tweets, in which the results of a semantic clustering process over a set of hashtags is shown to provide much better results than a clustering based on their syntactic co-occurrence.

Keywords

Semantic similarity tags co-occurrence clustering micro blogging 

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Copyright information

© IFIP International Federation for Information Processing 2013

Authors and Affiliations

  • Carlos Vicient
    • 1
  • Antonio Moreno
    • 1
  1. 1.Department of Computer Science and Mathematics, Intelligent Technologies for Advanced Knowledge Acquisition (ITAKA) research groupUniversitat Rovira i VirgiliTarragonaSpain

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