Style Recognition Using Keyword Analysis

  • Aruna Lorensuhewa
  • Binh Pham
  • Shlomo Geva
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2797)


The primary aim of this research project is to develop a generic framework and methodologies that will enable the augmentation of expert knowledge with knowledge extracted from multimedia sources such as text and pictures, for the purpose of classification and analysis. For evaluation and testing purposes of this research study, a furniture design style domain is selected because it is a common belief that design style is an intangible concept that is difficult to analyze. In this paper, we present the results of the analysis of keywords in the text descriptions of design styles. A simple keyword-based matching technique is used for classification and domain specific dictionaries of keywords are used to reduce the dimensionality of feature space. A comparative evaluation was carried out for this classifier and SVM and decision tree based classifier C4.5


Knowledge Extraction Text Retrieval Text Categorization Support Vector Machine Decision Trees Data Mining C4.5 Design Style 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Aruna Lorensuhewa
    • 1
  • Binh Pham
    • 1
  • Shlomo Geva
    • 1
  1. 1.Centre for Information Technology Innovation, Faculty of Information TechnologyQueensland University of TechnologyBrisbaneAustralia

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