Portfolio project
Amazon Review Sentiment Analysis
Analyzed 3.6M+ Amazon reviews using BiLSTM for sentiment classification. Awarded 3rd place in the national Fesmaro 2025 Big Data Analysis competition.

- core technologies
- 4documented project stack
- project status
- Builtportfolio implementation
- delivery scope
- End-to-endfrom implementation to evaluation
01Problem
Analyzed 3.6M+ Amazon reviews using BiLSTM for sentiment classification. Awarded 3rd place in the national Fesmaro 2025 Big Data Analysis competition.
02Approach
- Designed the solution using Python, BiLSTM, NLP.
- 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
- Analyzed 3.6M+ Amazon reviews using BiLSTM for sentiment classification. Awarded 3rd place in the national Fesmaro 2025 Big Data Analysis competition.
05Limitations
- Additional technical documentation will be added as the project archive is expanded.