Enhancing SVM-Based Classification Performance on Indonesian Sentences through TF-IDF and Directional Augmentation
Background: The distinction between standard and non-standard Indonesian sentences is traditionally well-defined, yet the ubiquity of digital communication has increasingly blurred these boundaries. This convergence introduces significant lexical ambiguity in formal contexts, complicating the perfo...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Universitas Nusantara PGRI Kediri
2026-01-01
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| coleção: | Intensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi |
| Assuntos: | |
| Acesso em linha: | https://ojs.unpkediri.ac.id/index.php/intensif/article/view/25179 |
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