Sentiment Analysis on Tabungan Perumahan Rakyat (TAPERA) Program by using Support Vector Machine (SVM)

This study aims to analyze public sentiment towards the Housing Savings Program (TAPERA) using the Support Vector Machine (SVM) algorithm. The dataset comprises 16,061 reviews about TAPERA which was gathered from web scrapping and YouTube API. The sentiment analysis results indicate that 99.8% of th...

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Bibliographic Details
Main Authors:	Rizki Agam Syahputra, Riski Arifin, Suryadi ., Muhammad Iqbal
Format:	Article
Language:	English
Published:	Politeknik Negeri Batam 2024-11-01
Series:	Journal of Applied Informatics and Computing
Subjects:	sentiment analysis support vector machine (svm) tapera
Online Access:	https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/8694

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https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/8694

Sentiment Analysis on Tabungan Perumahan Rakyat (TAPERA) Program by using Support Vector Machine (SVM)

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