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Machine Learning approach to Document Classification using Concept based Features
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 118 - Number 20 |
| Year of Publication: 2015 |
| Authors: C.saranya Jothi, D.thenmozhi |
10.5120/20864-3578
|
C.saranya Jothi, D.thenmozhi . Machine Learning approach to Document Classification using Concept based Features. International Journal of Computer Applications. 118, 20 ( May 2015), 33-36. DOI=10.5120/20864-3578
Abstract
Text mining refers to the process of deriving high-quality information from text. Text processing involves in search and replace in electronic format of text. A number of approaches have been developed to represent and classify text documents. Most of the approach tries to attain good classification performance while taking a document only by words. We propose a concept based methodology instead of terms. It represents the meaning of text to reduce the features. Support Vector Machine (SVM) algorithm is applied for document classification. Then the performance measure is compared with document classification using original features and concept based features. This methodology enhances the document classification accuracy.
References
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