This project provides a comprehensive sentiment analysis pipeline for MyTelkomsel application reviews scraped from the Google Play Store. It features a robust Indonesian text preprocessing engine and compares three distinct architectural approaches: TF-IDF with Linear SVM, Word2Vec with Random Forest, and a Deep Learning BiLSTM network to identify user sentiment with high accuracy.