Sentiment Analysis of the Film "JUMBO" on Twitter Using the Naive Bayes Method and Support Vector Machine (SVM) with a Text Mining Approach

This study aims to perform sentiment analysis on reviews of the film “JUMBO” collected from the Twitter platform, using the Naive Bayes and Support Vector Machine (SVM) methods. The data were gathered through a crawling process on Twitter, yielding 2,011 tweets, which were then processed through sev...

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Vydané v:	Journal of Applied Informatics and Computing Ročník 9; číslo 5; s. 2861 - 2868
Hlavní autori:	Widodo, Tegar Robi, Fajri, Ika Nur, Sari, Bety Wulan
Médium:	Journal Article
Jazyk:	English Indonesian
Vydavateľské údaje:	Politeknik Negeri Batam 19.10.2025
Predmet:	jumbo film naïve bayes random clasifier sentiment analysis support vector machine (svm) text mining twitter (x)
ISSN:	2548-6861, 2548-6861
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