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Comparative Study and Analysis of Supervised and Unsupervised Term Weighting Methods on Text Classification
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 68 - Number 10 |
| Year of Publication: 2013 |
| Authors: Mahak Motwani, Aruna Tiwari |
10.5120/11616-7013
|
Mahak Motwani, Aruna Tiwari . Comparative Study and Analysis of Supervised and Unsupervised Term Weighting Methods on Text Classification. International Journal of Computer Applications. 68, 10 ( April 2013), 24-27. DOI=10.5120/11616-7013
Abstract
Text Classification is one of the booming area in research with the availability of huge amount of electronic data in the form of news article, research articles, email message, blog, web pages etc. Text Representation is a vital step for text classification. In text representation, term weighting method assigns appropriate weights to the term to get better performance; the term weighting method which uses known information on membership of training document is supervised Term weighting method. Unsupervised term weighting method tf is compared with supervised Term weighting method tf. rf with Back Propagation Neural Network, results of experiment demonstrates that term weighing method (tf. rf) performs better than (tf) term frequency.
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