Comparison of Support Vector Machine (SVM) and Random Forest Algorithms in the Analysis of SOcial Media X User Sentiment Towards the TNI Bill

The rapid advancement of information technology has enabled the public to openly express their views through social media, including on strategic national issues such as the Draft Law on the Indonesian National Armed Forces (RUU TNI). This study aims to map public sentiment toward the RUU TNI and to...

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Vydané v:	Journal of Applied Informatics and Computing Ročník 9; číslo 5; s. 2854 - 2860
Hlavní autori:	Rochmawati, Nur, Zyen, Akhmad Khanif, Widiastuti, Nur Aeni
Médium:	Journal Article
Jazyk:	English Indonesian
Vydavateľské údaje:	Politeknik Negeri Batam 19.10.2025
Predmet:	analisis sentiment random forest ruu tni support vector machine
ISSN:	2548-6861, 2548-6861
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