Sentiment Analysis of User Reviews on the Game GTA V Using Support Vector Machine

Sentiment Analysis of User Reviews on the Game GTA V Using Support Vector Machine

This study explores user sentiment toward the game Grand Theft Auto V (GTA V) by analyzing 101,540 user reviews collected from Steam and Kaggle. The reviews were processed using standard text preprocessing techniques including case folding, tokenization, stopword removal, and stemming. The TF-IDF me...

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Bibliographic Details
Main Authors: Adika Kaka Saputra, Maya Rini Handayani, Nur Cahyo Hendro Wibowo, Khothibul Umam
Format: Article
Language:English
Published: LPPM ISB Atma Luhur 2025-07-01
Series:Jurnal Sisfokom
Subjects:
gta v
sentiment analysis
support vector machine
tf-idf
user review
Online Access:https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/2368
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