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Rating_Sorting_Reviews_Amazon_Data

One of the most important problems in e-commerce is the correct calculation of the points given to the products after the sale. The solution to this problem is providing more customer satisfaction for the e-commerce site, making the product stand out for the sellers and a seamless shopping experience for the buyers. Another problem is the correct ordering of the comments given to the products. Since misleading comments will directly affect the sale of the product, it will cause both material loss and loss of customers. When these 2 main problems are solved, e-commerce site and sellers will increase their sales, while their customers will complete the purchasing journey without any problems.

This dataset, which includes Amazon product data, includes product categories and various metadata. The product with the most reviews in the electronics category has user ratings and reviews.

Variables

reviewerID: User ID
asin : Product ID
reviewerName: User Name
helpful: Useful Evaluation Rating
reviewText: Evaluation
overall: Product Rating
summary: Evaluation Summary
unixReviewTime: Evaluation Time
reviewTime: Evaluation Time Raw
day_diff: Number of Days Passed Since Assessment
helpful_yes: The Number of Times the Evaluation Was Found Useful
total_vote: Number of Votes Given To the Evaluation.

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