Comparison of the Accuracy Between Naive Bayes Classifier and Support Vector Machine Algorithms for Sentiment Analysis in Mobile JKN Application Reviews

Comparison of the Accuracy Between Naive Bayes Classifier and Support Vector Machine Algorithms for Sentiment Analysis in Mobile JKN Application Reviews

The Mobile JKN (National Health Insurance) application is a form of BPJS Health's commitment to implementing health insurance programs since 2014. The large number of reviews of the Mobile JKN application on the Google Play Store requires sentiment analysis with an algorithm that produces the...

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Bibliographic Details
Main Authors: Erni Septiani, Tubagus M. Akhriza, Mochamad Husni
Format: Article
Language:English
Published: Universitas Islam Negeri Profesor Kiai Haji Saifuddin Zuhri Purwokerto 2024-04-01
Series:Transactions on Informatics and Data Science
Subjects:
Naïve Bayes Classifier
Support Vector Machine
Sentiment Analysis
Mobile JKN
SMOTE
Online Access:https://ejournal.uinsaizu.ac.id/index.php/tids/article/view/12232
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https://ejournal.uinsaizu.ac.id/index.php/tids/article/view/12232

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