Start Submission Become a Reviewer

Reading: Concept based clustering for descriptive document classification

Download

A- A+
dyslexia friendly

Research Papers

Concept based clustering for descriptive document classification

Authors:

S Senthamarai Kannan ,

Department of Information Technology, Thiagarajar College of Engineering, Madurai, India
X close

N Ramaraj

Principal, GKM Engineering College, Chennai, India
X close

Abstract

We present an approach for improving the relevance of search results by clustering the search results obtained for a query string with the help of a Concept Clustering Algorithm. The Concept Clustering Algorithm combines common phrase discovery and latent semantic indexing techniques to separate search results into meaningful groups. It looks for meaningful phrases to use as cluster labels and then assigns documents to the labels to form groups. The labels assigned to each document cluster provide meaningful information on the various documents available under that cluster. This provides a more interactive and easier way to probe through search results and identifying the relevant documents for the users using the search engine.
DOI: http://doi.org/10.2481/dsj.6.91
How to Cite: Kannan, S.S. & Ramaraj, N., (2007). Concept based clustering for descriptive document classification. Data Science Journal. 6, pp.91–98. DOI: http://doi.org/10.2481/dsj.6.91
15
Views
14
Downloads
Published on 07 Sep 2007.
Peer Reviewed

Downloads

  • PDF (EN)

    comments powered by Disqus