Portfolio project
Sentiment Analysis on Tokopedia Reviews
Scraped and analyzed Indonesian e-commerce reviews using NLP and Scikit-learn, classifying sentiment to surface product feedback trends for retail decision-making.

- core technologies
- 4documented project stack
- project status
- Builtportfolio implementation
- delivery scope
- End-to-endfrom implementation to evaluation
01Problem
Scraped and analyzed Indonesian e-commerce reviews using NLP and Scikit-learn, classifying sentiment to surface product feedback trends for retail decision-making.
02Approach
- Designed the solution using Python, NLP, Web Scraping.
- Implemented the core workflow and evaluated the result against the project objective.
- Documented the work as part of the broader AI and data portfolio.
03Contribution
- Contributed to technical implementation and project delivery.
- Worked across data preparation, modeling or application development as required by the project.
04Outcome
- Scraped and analyzed Indonesian e-commerce reviews using NLP and Scikit-learn, classifying sentiment to surface product feedback trends for retail decision-making.
05Limitations
- Additional technical documentation will be added as the project archive is expanded.