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Daily Amazon User Feedback Dataset
Reviews & Ratings
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides user reviews and ratings for the Amazon Shopping App. It is a key resource for understanding user feedback, offering insights into review relevance and the date reviews were posted. The dataset is updated daily, ensuring access to current user opinions [1].
Columns
- reviewId: A distinct identifier for each individual review [2].
- id: Another identifier for the review, potentially for internal tracking [2].
- userName: The identifier for the user who provided the review. This dataset contains 74,400 unique usernames [2].
- content: The actual textual feedback or comment written by the user [2].
- score: The numerical rating assigned by the user to the app [2]. Ratings range from 1.00 to 5.00, with 21,264 reviews scoring between 4.80 and 5.00, and 34,885 reviews scoring between 1.00 and 1.20 [2, 3].
- thumbsUpCount: The number of 'likes' or upvotes a specific review has received [2]. The majority of reviews (75,346 entries) have between 0 and 283 likes [3].
- reviewCreatedVersion: The specific version of the app on which the review was originally created [2]. There are 73,010 unique app versions represented in the dataset [2].
- at: The date and time when the review was published [2].
Distribution
This dataset is typically provided in a CSV file format [4]. It comprises a considerable volume of entries, as indicated by the unique counts for usernames and app versions [2]. The dataset is daily updated, maintaining its timeliness [1].
Usage
This dataset is well-suited for various analytical applications, including:
- Sentiment analysis to gauge overall user sentiment towards the Amazon Shopping App [1].
- Natural Language Processing (NLP) tasks such as keyword extraction, topic modelling, and text classification [1].
- Understanding user satisfaction and identifying areas for app improvement based on feedback.
- Market research to analyse consumer trends and preferences related to mobile shopping applications.
Coverage
The dataset offers global geographical coverage [5]. The reviews span a time period from 12th September 2018 to 2nd July 2025 [6, 7]. It focuses on the experiences and opinions of users of the Amazon Shopping App [1].
License
CC-BY-SA
Who Can Use It
- Data scientists and analysts for performing in-depth sentiment analysis and predictive modelling.
- Mobile application developers and product managers seeking direct user feedback to inform app updates and feature enhancements.
- Academic researchers interested in e-commerce, consumer behaviour, or large-scale text analysis.
- Marketing and business intelligence professionals aiming to understand market perception and customer loyalty.
Dataset Name Suggestions
- Amazon Shopping App Reviews & Ratings
- Daily Amazon User Feedback Dataset
- Global Amazon App Review Data
- E-commerce Mobile App Reviews
Attributes
Original Data Source: Amazon Shopping Reviews [Daily Updated]
QUALITY