AI RESEARCH
Sentiment Analysis of Indonesian Spotify Reviews Using Machine Learning and BiLSTM
arXiv CS.CL
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ArXi:2605.03443v1 Announce Type: new This paper benchmarks classical machine learning and deep learning approaches for three-class sentiment classification of Indonesian Spotify reviews. Using 100,000 scraped reviews and 70,155 cleaned samples, the study compares Vector Machine, Multinomial Naive Bayes, and Decision Tree models with a two-layer BiLSTM. Both approaches use the same preprocessing pipeline, including slang normalization, stopword removal, and stemming.