Showing 17-19 of 19 results

Amazon Reviews: Unlocked Mobile Phones

Creators: PromptCloud, Inc.
Publication Date: 2019
Creators: PromptCloud, Inc.
We analyzed more than 400,000 reviews of close to 4,400 unlocked mobile phones sold on Amazon.com to find out insights with respect to reviews, ratings, price and their relationships, making it a rich resource for analyzing customer sentiment and product performance. The dataset is approximately 0,13 GB in size and is available in CSV format. The author found that on Amazon’s product review platform most of the reviewers have given 4-star and 3-star ratings. The average length of the reviews comes close to 230 characters. They also uncovered that lengthier reviews tend to be more helpful and there is a positive correlation between price & rating. 

Structurally, each entry in the dataset includes the following variables:​

  • Product Name: The name of the product (e.g., “Sprint EPIC 4G Galaxy SPH-D7”).​
  • Brand Name: The manufacturer or parent company (e.g., “Samsung”).​
  • Price: The listed price of the product, with values ranging from a minimum of $1.73 to a maximum of $2,598, and an average price of $226.86.​
  • Rating: The user-assigned rating, ranging between 1 and 5 stars.​
  • Reviews: The textual content of the user’s review, detailing their experience and opinions.​
  • Review Votes: The number of helpfulness votes each review received from other users, with a minimum of 0, a maximum of 645, and an average of 1.50 votes.​

Amazon Product Reviews

Creators: Ni, Jianmo; Li, Jiacheng; McAuley, Julian
Publication Date: 2018
Creators: Ni, Jianmo; Li, Jiacheng; McAuley, Julian

The Amazon Product Reviews dataset encompasses a comprehensive collection of 233.1 million customer reviews from Amazon, covering the period from May 1996 to October 2018. It includes various features such as ratings, textual reviews, helpfulness votes, product metadata (descriptions, category information, price, brand, and image features), and links to related products (e.g., also viewed, also bought graphs). The dataset serves as a valuable resource for analyzing consumer behavior, product trends, and for developing recommendation systems. In total, the dataset is 34 GB in size. It is organized into the following files and subsets:

  • Complete Review Data: A comprehensive file containing all 233.1 million reviews.
  • Ratings Only: A CSV file focusing solely on ratings, excluding textual reviews and metadata.
  • 5-Core: A subset where all users and items have at least five reviews, comprising 75.26 million reviews.
  • Per-Category Data: Reviews and product metadata categorized by specific product types (e.g., Books, Electronics).

Marketing Bias data

Creators: Wan, Mengting; Ni, Jianmo; Misra, Rishabh; McAuley, Julian
Publication Date: 2020
Creators: Wan, Mengting; Ni, Jianmo; Misra, Rishabh; McAuley, Julian

This dataset contains attributes of products sold on ModCloth and Amazon (in particular, attributes about how the products are marketed), which may introduce biases in recommendation systems. It is designed to facilitate research on marketing biases in product recommendations. Data also includes user/item interactions for recommendation.

The dataset amounts to 0,09 GB in size and is built upon two processed subsets:

  • ModCloth Dataset: Contains product attributes from the ModCloth platform.
  • Electronics Dataset: Comprises product attributes from Amazon’s Electronics category.

In total, the dataset includes 99,893 reviews for ModCloth and 1,292,954 reviews for the Electronics category of Amazon.

Sign In

Register

Reset Password

Please enter your username or email address, you will receive a link to create a new password via email.