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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
LPPM ISB Atma Luhur
2025-07-01
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| Series: | Jurnal Sisfokom |
| Subjects: | |
| Online Access: | https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/2368 |
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