Amazon Shopping App Reviews from Google Play Store

Amazon Shopping Reviews from Google Play Store contain user-generated text and ratings for the Amazon mobile application. The dataset is updated daily, providing a continuous stream of feedback. The original collector and specific volume details are not provided.

Use Cases

• Perform sentiment analysis on review text to classify user feedback as positive, negative, or neutral.
• Analyze rating distributions and correlate them with review text content to identify key user satisfaction drivers.
• Train text classification models to automatically categorize reviews by topic, such as complaints about delivery, app functionality, or product quality.
• Monitor temporal trends in review sentiment and volume due to the daily update schedule.

Strengths

• Data is updated daily, enabling near real-time analysis.
• Source is a major platform (Google Play Store), providing authentic user feedback.

Limitations

• The total number of rows, historical depth, and sample size are unknown.
• Data is limited to reviews from a single app store (Google Play), excluding iOS and web users.
• The absence of known column details prevents assessment of feature richness and structure.

Provenance

Source

Google Play Store user reviews for the Amazon Shopping application.

Collection Method

Scraped or collected from the Google Play Store public review listings.

Freshness

Daily updates.