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Found 2 from your keywords: subject="Pembelajaran Mesin--A...
cover
PERBANDINGAN ALGORITMA SVM DAN NAIVE BAYES DALAM ANALISIS SENTIMEN TERHADAP U…
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Alghifari, M. Yasir

Indonesia’s rapid e-commerce growth has produced a vast volume of user reviews, yet their use for insight extraction remains limited—particularly for the Bukalapak platform. This study compares the performance of Naïve Bayes and Support Vector Machine for sentiment classification on 10,000 Bukalapak reviews. The workflow includes text preprocessing (cleaning, case folding, tokenization, st…

Edition
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ISBN/ISSN
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Collation
xvii, 78 hlm.; ilus.; tab.; 29 cm.
Series Title
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Call Number
T1895302025
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STUDI KOMPARATIF ALGORITMA KLASIFIKASI DALAM MENGANALISIS SENTIMEN APLIKASI S…
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Anadia, Qothrunnada Wafi

Public service applications such as SIGNAL facilitate the public in accessing information and making motor vehicle tax payments. However, the diversity of user reviews indicates the need to evaluate public perceptions through sentiment analysis. This study compares the performance of four classification algorithms Naïve Bayes, Random Forest, Decision Tree, and SVM in analyzing 36,000 user revi…

Edition
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ISBN/ISSN
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Collation
xv, 70 hlm.; ilus.; tab.; 29 cm.
Series Title
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Call Number
T1895352025