Exploiting Negative Categories and Wikipedia Structures for Document Classification

Author

Murugeshan, Meenakshi Sundaram ; Lakshmi, K. ; Mukherjee, Saswati

Author_Institution

Dept. of Comput. Sci. & Eng., Guindy Anna Univ., Chennai, India

fYear

2009

fDate

27-28 Oct. 2009

Firstpage

868

Lastpage

872

Abstract

This paper explores the effect of profile based method for classification of Wikipedia XML documents. Our approach builds two profiles, exploiting the whole content, Initial Descriptions and links in the Wikipedia documents. For building profiles we use the negative category information which has shown to perform well for classifying unstructured texts. The performance of Cosine and Fractional Similarity metrics is also compared. The use of two classifiers and their weighted average improves the classification performance.

Keywords

Web sites; XML; document handling; pattern classification; Wikipedia XML documents; Wikipedia structures; cosine metrics; document classification; fractional similarity metrics; initial descriptions; negative categories; negative category information; Communications technology; Computer science; Educational institutions; Paper technology; Radio frequency; Testing; Wikipedia; XML; Feature Selection; Multiple Classifiers; Negative Categories; Profile Creation; Similarity Measures; XML Classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Recent Technologies in Communication and Computing, 2009. ARTCom '09. International Conference on

Conference_Location

Kottayam, Kerala

Print_ISBN

978-1-4244-5104-3

Electronic_ISBN

978-0-7695-3845-7

Type

conf

DOI

10.1109/ARTCom.2009.79

Filename

5328383