ARCHIVES

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18. M. Alzate, M. Arce-Urriza, and J. Cebollada, “Mining the Text of Online Consumer Reviews to Analyze Brand Image and BrandPositioning,” 2022.
19. A. Karasenko and D. Baier, “Beyond Sentiment Analysis of Online Customer Reviews,” 2025.
20. H. Hermanto and others, “Sentiment Analysis on Gojek and Grab User Reviews Using SVM Algorithm Based on Particle Swarm
Optimization,” 2020.
21. P. Kurniawati, R. Y. Fa’rifah, and D. Witarsyah, “Sentiment Analysis of Maxim Online Transportation App Reviews Using Support
Vector Machine (SVM) Algorithm,” 2023.
22. Z. Rahman and others, “Sentiment Analysis of Gojek App Reviews on Google Play Store with Natural Language Processing Using Naive
Bayes Algorithm,” 2024.
23. M. S. Ahammad and others, “Sentiment Analysis of Various Ride Sharing Applications Reviews: A Comparative Analysis Between Deep
Learning and Machine Learning Algorithms,” 2024.
24. R. Saefullah, S. Luthfi, O. Yohandoko, and A. Prabowo, “Sentiment Analysis of Maxim App User Reviews in Indonesia Using Machine
Learning Model Performance Comparison,” International Journal of Quantitative Research and Modeling, vol. 5, no. 3, pp. 331–340,
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Support Vector Machine (SVM) and Naïve Bayes Algorithm,” 2025.
26. Kristiyanto and Sandiva, “Comparison of Random Forest and Support Vector Machine Learning Algorithms in Sentiment Analysis of
Gojek User Reviews,” 2026.
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