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.
The first author was partially supported by NSERC, the Natural Sciences and Engineering Research Council of Canada. The work of the second author was done in Canada while visiting the first author with the support of a Leiv Eriksson Grant funded by the Research Council of Norway. Both authors acknowledge the support of Integrasco, a company providing WoM services.
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Oommen, B.J., Granmo, OC., Liang, Z. (2009). A Novel Multidimensional Scaling Technique for Mapping Word-Of-Mouth Discussions. In: Chien, BC., Hong, TP. (eds) Opportunities and Challenges for Next-Generation Applied Intelligence. Studies in Computational Intelligence, vol 214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92814-0_49
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DOI: https://doi.org/10.1007/978-3-540-92814-0_49
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