This research paper introduces a predictive model for customer satisfaction using the XGBoost algorithm and TF-IDF vectorization on YouTube comments from Indonesian e-commerce review videos. The study found that the PyCaret-optimized machine learning framework achieved superior classification performance. Notably, the analysis revealed that socio-political terms frequently appear in e-commerce discussions, impacting customer sentiment. AI
影响 This study highlights how socio-political discourse can influence customer satisfaction predictions in e-commerce, suggesting a need for more nuanced sentiment analysis.
排序理由 This is a research paper published on arXiv detailing a new predictive model.
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