Chi-Square Feature Selection with Pseudo-Labelling in Natural Language Processing
This study aims to evaluate the effectiveness of the Chi-Square feature selection method in improving the classification accuracy of linear Support Vector Machine, K-Nearest Neighbors and Random Forest in natural language processing when combined with classification algorithms as well as introducing...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Muhammadiyah Mataram
2024-07-01
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| Series: | JTAM (Jurnal Teori dan Aplikasi Matematika) |
| Subjects: | |
| Online Access: | http://journal.ummat.ac.id/index.php/jtam/article/view/22751 |
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