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Ridwan Halim

Tokopedia Review Scanner

ML pipeline to decode Tokopedia app feedback like a pro.

Tokopedia Review Scanner

Project Description

This pipeline scrapes and analyzes Tokopedia app reviews from Google Play, using ML to read the sentiment.

It pinpoints what users love or hate, helping devs focus on fixes and features that matter.

Tackles messy Indonesian text—slang included—comparing models to find the top performer.

Key Features

Review Scraper

Grabs fresh feedback from Play Store.

Text Cleanup

Tames messy text for clean analysis.

Feature Extraction

Uses TF-IDF and Word2Vec for deep insights.

Model Testing

Battles ML models to crown the best.

Sentiment Scores

Nails review vibes with precision.

Technical Details

Python

My go-to for building robust backends with clean code

Machine Learning

Crunching data with algorithms to predict and analyze stuff