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A machine learning system for classifying Indonesian text sentiment (positive/negative/neutral) using XGBoost (TF-IDF) and transformer-based NLP, trained on 30K MyPertamina app reviews.
Proyek Machine Learning untuk menganalisis sentimen (Klasifikasi) dan memprediksi skor (Regresi) ulasan aplikasi "Wondr by BNI" menggunakan metodologi CRISP-DM, diimplementasikan sebagai aplikasi web interaktif dengan Streamlit.