Amazon Customer Reviews Sentiment Analysis utilizing Python for Data Extraction and Pre-Processing, with real-time data from the Amazon API and Tableau for dashboard visualizations.
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Updated
Jun 10, 2026 - Jupyter Notebook
Amazon Customer Reviews Sentiment Analysis utilizing Python for Data Extraction and Pre-Processing, with real-time data from the Amazon API and Tableau for dashboard visualizations.
CommentSense v1: Fine-tuned Twitter-RoBERTa transformer on 1M+ YouTube comments, deployed with FastAPI and Hugging Face, and integrated into a Chrome Extension for real-time sentiment analysis.
A production-ready multi-label emotion classification engine fine-tuned on Twitter-RoBERTa, outperforming SemEval 2018 SOTA (Macro F1: 0.5925).
This repository contains files related to a project I published on Medium, which focuses on leveraging the RoBERTa model for Country Recognition and Geolocated Sentiment Analysis.
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End-to-end marketing analytics case study: AWS S3 → Snowflake ETL/ELT → RoBERTa-based sentiment NLP → 7-page Power BI dashboard delivering data-driven conversion, engagement, and CX recommendations.
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