Keyword-based Text Matching Approach for Design Style Recognition
Lorensuhewa, Aruna, Pham, Binh L., & Geva, Shlomo (2002) Keyword-based Text Matching Approach for Design Style Recognition. In Zaiane, O. & Djeraba, C. (Eds.) First International Workshop on Knowledge Discovery in Multimedia and Complex Data (KDMCD'2002), 6 May 2002, Taipei, Taiwan.
We present the results of an investigation into the recognition a design style by analysing keywords in the text descriptions of design styles. A simple keyword-based matching technique is used to classify a design style by examining its text description. Domain specific dictionaries of keywords are used to reduce the dimensions of the feature space. The results of the classifier are compared with those of SVM and decision tree based classifiers. The results conclude that design style in the domain that we analysed can be recognised with accuracy of approximately 75% from its descriptions.
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|Item Type:||Conference Paper|
|Keywords:||Design style, Text retrieval, Text categorization, Support vector machine, Decision trees, Data mining|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Copyright Owner:||Copyright 2002 (please consult author)|
|Deposited On:||05 Oct 2005|
|Last Modified:||09 Jun 2010 22:27|
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