Sentiment Analysis of Telegram App Reviews on Google Play Store Using the Support Vector Machine (SVM) Algorithm

Sentiment Analysis of Telegram App Reviews on Google Play Store Using the Support Vector Machine (SVM) Algorithm

This study aims to analyze the sentiment of Telegram application reviews on the Google Play Store using the Support Vector Machine (SVM) algorithm. From a total of 14,700,000 initial reviews, a sampling technique was carried out to obtain 400 review data, which then went through the pre-processing s...

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Bibliographic Details
Main Authors: Nofsa Atia Nevrada, Muhammad Adie Syaputra
Format: Article
Language:English
Published: Politeknik Negeri Batam 2025-01-01
Series:Journal of Applied Informatics and Computing
Subjects:
data pre-processing
positive and negative sentiment classification
sentiment analysis
support vector machine
telegram application reviews
Online Access:https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/8851

Internet

https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/8851

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