AmazonFineFoods

Context

Amazon.com is one of the largest e-commerce and cloud computing companies. Amazon relies heavily on a recommendation engine that reviews customer ratings and purchase history to suggest items and improve sales.

Content

This is a lightweight and cleaned version of the popular Amazon Fine Foods dataset. It is a dataset related to 3000 customer reviews with rating of food related products sold on their website up to Oct 2012. The size and content of this dataset make it ideal for beginner experiments with NLP techniques. Have fun!

The dataset contains the following columns:

• Id -> Review ID
• Product Id -> Unique identifier for the product
• User Id -> Unique identifier for the user
• Profile Name -> Name of the user who wrote the review
• Helpful Numerator -> Number of users who found the review helpful
• Helpful Denominator -> Number of users who found the review helpful or not)
• Score -> Rating given in the review (5 being the highest and 1 being the lowest rating)
• Time -> Date and time of the review
• Summary -> Summary of the review
• Text -> Text of the review