jcharit1/Amazon-Fine-Foods-Reviews
A series of NLP projects with the Amazon Fine Foods Revews dataset
This project helps e-commerce managers and content strategists quickly identify which customer reviews are most helpful. By analyzing simple text features like sentence count and readability, it takes raw customer review text and predicts how useful a new review will be to shoppers. The insights help improve customer satisfaction by ensuring high-quality reviews are easy to find, especially for new or less popular products.
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Use this if you need a quick, computationally light way to predict the helpfulness of online product reviews, without relying on complex, resource-intensive language models.
Not ideal if you require extremely high predictive accuracy and have ample computational resources and time to train more complex models, or if your domain is not customer reviews.
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Jupyter Notebook
License
MIT
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Last pushed
Jun 03, 2017
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