Telegram App Reviews from Google Play Store, 400,000 Indonesian User Comments
Available on 1 platform
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Description
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
License is unknown; users must verify terms of use before application.