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.
Publications Citing This Dataset:
Aljuhani, and Alghamdi (2019). A comparison of sentiment analysis methods on Amazon reviews of Mobile Phones. International Journal of Advanced Computer Science and Applications, 10(6).
10.14569/IJACSA.2019.0100678
Variables:
Name
Description
Product Name
The name of the Product. e.g. Sprint EPIC 4G Galaxy SPH-D7
Brand Name
Name of the parent company. e.g. Samsung
Price
Price of the product. (Max: 2598, Min: 1.73, Mean: 226.86)
Rating
Rating of the product ranging between 1-5
Reviews
Description of the user experience
Review Votes
Number of people voted the review (Min: 0, Max: 645, Mean: 1.50)
