Performance improvement of poem genre classification using a combination of SMOTE and support vector machine
Text classification aims to be able to classify documents into the correct class. In this study, the use of SVM to perform text classification. The existence of this research is to find out how good the performance produced by SVM is in classifying text. A total of 841 poetry data were categorized i...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2023
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| Subjects: | |
| Online Access: | http://eprints.utm.my/107699/ http://dx.doi.org/10.1109/iSemantic59612.2023.10295293 |
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| Institution: | Universiti Teknologi Malaysia |