Telegram App Reviews from Google Play Store, 400,000 Indonesian User Comments

400,000+ cleaned Indonesian user reviews for the Telegram application, sourced from the Google Play Store. The dataset is hosted on Kaggle, but the author, organization, and specific collection date are unknown. Column-level documentation and file format details are not provided in the available metadata.

Use Cases

• Train sentiment analysis models based on Indonesian-language user feedback.
• Analyze user satisfaction trends for the Telegram app based on review text.
• Conduct comparative linguistic analysis of app reviews from a specific geographic region.

Strengths

• Contains over 400,000 individual data points, providing a substantial corpus for analysis.
• The description states the reviews have been cleaned, which suggests some preprocessing has been applied.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic bias inherent to its source, being exclusively from Indonesian users on the Google Play Store.
• Last update date is unknown; freshness unverified.

Provenance

Source

Google Play Store

Collection Method

Likely scraped and cleaned from the Google Play Store review pages.

Geography

Indonesia