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MyTelkomsel Sentiment Analysis

Comparing ML/DL architectures for Indonesian app review sentiment classification.

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GeliştirenAselens Software
Güncellenme TarihiMarch 1, 2024
Etiketler8 Etiket

Project Summary

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.

Project Access

Technologies Used

Python
TensorFlow
keras
scikit-learn
gensim
pandas
NumPy
google-play-scraper

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