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A Systematic Literature Review: Analyzing Service Quality Through User Reviews Using Machine Learning Approaches Dwi Andre Vebriansyah; Budi Eko Soetjipto; Ludi Wisnuwardhana
Jurnal Rimba Riset Ilmu manajemen BisnisĀ danĀ Akuntansi Vol. 3 No. 2 (2025): Mei : Riset Ilmu Manajemen Bisnis dan Akuntansi
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/rimba.v3i2.1770

Abstract

This research conducted a systematic literature review of studies related to analyzing service quality based on user reviews with a machine learning approach. A total of 15 international and national journals were analyzed to identify challenges, methods, and trends in research in this aspect. The review results show that Natural Language Processing (NLP) and Sentiment Analysis techniques are the dominant approaches, with machine learning models such as Deep Learning, Naive Bayes, and Support Vector Machine (SVM) being commonly used. The review also identifies research gaps and provides recommendations for future research directions.