anandr07/Sentiment-prediction-from-Amazon-reviews

This project employs advanced natural language processing and machine learning to analyze Amazon reviews, predicting sentiment shifts. It assists users and businesses in understanding and anticipating public perceptions of products, guiding development, and enhancing decision-making within the e-commerce landscape.

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Experimental

This project helps e-commerce businesses and product managers understand customer opinions by analyzing Amazon product reviews. It takes raw Amazon review text as input and predicts whether the sentiment expressed is positive or negative. The output can guide product development and marketing decisions, helping you anticipate public perception.

No commits in the last 6 months.

Use this if you need to quickly gauge customer sentiment from a large volume of Amazon reviews to inform your business strategy or product improvements.

Not ideal if you need to analyze customer sentiment from platforms other than Amazon or require very fine-grained emotional analysis beyond positive/negative.

e-commerce customer-feedback-analysis product-management market-research brand-reputation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 6 / 25

How are scores calculated?

Stars

13

Forks

1

Language

Jupyter Notebook

License

MIT

Last pushed

Mar 05, 2024

Commits (30d)

0

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