Grab App Reviews from Google Play Store, 1.7 Million Indonesian User Entries

1.7 million rows of cleaned Indonesian user reviews for the Grab super-app, sourced from the Google Play Store. The dataset likely contains textual feedback and associated metadata from a major Southeast Asian market. Its origin and specific collection timeframe are not detailed in the provided metadata.

Use Cases

• Train sentiment analysis models based on Indonesian-language user feedback.
• Analyze common user complaints or praise themes mentioned in the review text.
• Study temporal trends in user satisfaction for a major ride-hailing and delivery platform.
• Perform topic modeling to identify key features discussed in the reviews.

Strengths

• Contains 1.7 million individual data points, providing a substantial corpus for analysis.
• Data is described as 'cleaned', which may indicate preprocessing for usability.
• Focuses on a specific, high-usage geography (Indonesia) and platform (Google Play Store).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.
• Data may reflect geographic and platform bias inherent to its source.

Provenance

Source

Google Play Store

Collection Method

Likely scraped or collected via the Play Store's public review interface.

Geography

Indonesia