One of the most important problems in e-commerce is the correct calculation of the points given to the products after sales. The solution to this problem means providing greater customer satisfaction for the e-commerce site, prominence of the product for the sellers and a seamless shopping experience for the buyers.
Another problem is the correct ordering of the comments given to the products. The prominence of misleading comments will cause both financial loss and loss of customers.
In the solution of these 2 basic problems, while the e-commerce site and the sellers will increase their sales, the customers will complete the purchasing journey without any problems.
Consisting of Amazon product data, this dataset includes product categories and various metadata. The product with the most reviews in the electronics category has user ratings and reviews.
| FEATURE | DESCRIPTION |
|---|---|
| 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 since evaluation |
| helpful_yes | The number of times the evaluation was found useful |
| total_vote | Number of votes given to the evaluation |