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A Novel Multidimensional Scaling Technique for Mapping Word-Of-Mouth Discussions

  • B. John Oommen
  • Ole-Christoffer Granmo
  • Zuoyuan Liang
Part of the Studies in Computational Intelligence book series (SCI, volume 214)

Abstract

The techniques which utilize Multidimensional Scaling (MDS) as a fundamental statistical tool have been well developed since the late 1970’s. In this paper we show how anMDS scheme can be enhanced by incorporating into it a Stochastic Point Location (SPL) strategy (one which optimizes the former’s gradient descent learning phase) and a new Stress function. The enhanced method, referred to as MDS SPL, has been used in conjunction with a combination of the TF-IDF and Cosine Similarities on a very noisy Word-Of-Mouth (WoM) discussion set consisting of postings concerning mobile phones, yielding extremely satisfying results.

Keywords

Mobile Phone Multidimensional Scaling Stress Function Cosine Similarity Multidimensional Space 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • B. John Oommen
    • 1
    • 2
  • Ole-Christoffer Granmo
    • 2
  • Zuoyuan Liang
    • 3
  1. 1.School of Computer ScienceCarleton UniversityOttawaCanada
  2. 2.Dept. of ICTUniversity of AgderGrimstadNorway
  3. 3.C/o. Dr. B. John Oommen, School of Computer ScienceCarleton UniversityOttawaCanada

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