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Classification of Medline documents using Global Relevant Weighing Schema
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 16 - Number 3 |
| Year of Publication: 2011 |
| Authors: S.Sagar Imambi, T.Sudha |
10.5120/1989-2679
|
S.Sagar Imambi, T.Sudha . Classification of Medline documents using Global Relevant Weighing Schema. International Journal of Computer Applications. 16, 3 ( February 2011), 45-48. DOI=10.5120/1989-2679
Abstract
Medline and Pubmed repositories are rich in medical literature .Once the documents are retrieved from PUBMED, they need further analysis. This paper describes new model for text classification by estimating terms weights and shows how the classification accuracy is improved with this method. The method uses global relevant weight as term weighing schema. Experiments performed with different weighing schemas shows that the new global relevant weighing method outperforms the traditional term weighing approaches.
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