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Google Playstore Startup Sentiment and Text Mining Data
Product Reviews & Feedback
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Gathering user feedback from the Google Playstore provides a detailed perspective on the consumer experience of leading Indonesian startups. This information supports sentiment analysis within the business sector, offering valuable insights for learning and professional research. By aggregating reviews from a wide variety of "unicorn" platforms and essential services—ranging from food delivery and e-commerce to digital banking and logistics—the collection allows for an in-depth investigation into the digital ecosystem of Southeast Asia.
Columns
- id: A unique numerical identifier assigned to each individual review entry.
- created_at: The timestamp indicating when the user posted the review, covering a period from late 2013 to early 2025.
- score: The star rating provided by the user, ranging from 1 to 5.
- content: The textual body of the review, providing the raw feedback necessary for text mining and sentiment classification.
- thumbsUpCount: A count of how many times other users marked the review as helpful or gave it a "thumbs up".
Distribution
The information is delivered in CSV format, with specific files like
blibli.csv having a size of 8.9 MB. The collection maintains high integrity, featuring 117,000 valid records with a 100% validity rate for all primary columns. The resource is maintained as a static archive with a usability score of 10.00.Usage
This resource is ideal for training machine learning models for natural language processing and sentiment analysis. It is well-suited for market research aimed at identifying common consumer pain points and tracking the brand reputation of Indonesian tech giants over time. Analysts can also use the data to perform competitive benchmarking across different industries, such as fintech versus e-commerce.
Coverage
The geographic scope is focused on Indonesia, specifically covering users of popular regional mobile applications. Temporally, the data provides a long-term view from 11 December 2013 through to 9 February 2025. The demographic coverage represents millions of app users, including 100M+ downloads for major platforms like Gojek, Tokopedia, and Dana.
License
CC0: Public Domain
Who Can Use It
Data scientists can utilise the structured text and ratings to refine sentiment detection algorithms. Business analysts and startup founders may leverage the feedback to improve service offerings and understand market trends. Additionally, academic researchers can employ the records to study the digital transformation and consumer behaviour of the Indonesian population.
Dataset Name Suggestions
- Indonesian Startup Sentiment: Play Store App Review Archive
- Indonesia Tech Unicorns: User Feedback and Rating Registry
- Southeast Asia Digital Economy Sentiment Collection (2013–2025)
- Indonesian Fintech and E-commerce Review Database
- Google Playstore Startup Sentiment and Text Mining Data
Attributes
Original Data Source: Google Playstore Startup Sentiment and Text Mining Data
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