Improving Accuracy of Text Classification for SMS Data |
Author(s): |
| Prof. Purvi Rekh , Uka Tarsadia University, India; Hiral Padhiyar, Uka Tarsadia University, India |
Keywords: |
| Decision Tree, Text Classification. |
Abstract |
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Text classification has become one of the major techniques for organizing and managing online information; similarly SMS classification is also an important task now a day. In this paper, we have focused on the issue of short words used in SMS (hpy for happy, bday for birthday) which reduces classification accuracy, so after removing such words with original words, we got better accuracy. We used Decision tree Algorithm for classification of SMS data as it is giving better accuracy then other classifiers. But still replacing all possible short words for the given word dynamically by the original word is an issue. |
Other Details |
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Paper ID: IJSRDV1I10020 Published in: Volume : 1, Issue : 10 Publication Date: 01/01/2014 Page(s): 2128-2130 |
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