A negative category based approach for Wikipedia document classification. (10th April 2010)

• Record Type: Journal Article
• Authors: Murugeshan, Meenakshi Sundaram; Lakshmi, K.; Mukherjee, Saswati
• Is Part Of: International journal of knowledge engineering and data mining. Volume 1:Number 1(2010)
• Page Start: 84
• Page End: 97
• Publication Date: 2010-04-10
• Subjects: XML classification -- profile creation -- negative categories -- similarity measures -- feature selection -- initial descriptions -- Wikipedia documents -- document classification -- unstructured text -- cosine -- fractional similarity; Knowledge representation (Information theory) -- Periodicals; Data mining -- Periodicals; 006.305
• Languages: English
• ISSNs: 1755-2087

Abstract

Profile based methods have been successfully used for the classification of unstructured texts. This paper presents a profile based method for Wikipedia XML document classification. We have used profiles built using negative category information. Our approach exploits the structure of Wikipedia documents to build profiles. Two class profiles are built; one based on the whole content and the other based on the initial description of the Wikipedia documents. In addition, we have also explored the option of using the terms in the section and subsection titles. The effectiveness of cosine and fractional similarity measures in classifying XML documents is compared. The importance of combining two profile based classifiers is experimentally shown to have worked better than individual classifiers.