Indonesian TikTok App Reviews from 2017 to 2026 for NLP

Four million Indonesian-language reviews for the TikTok mobile application, collected from the Google Play Store between 2017 and 2026. The dataset is intended for natural language processing and sentiment analysis tasks. Its author, organization, and specific license are not provided in the input metadata.

Use Cases

• Conduct sentiment analysis based on user review text.
• Train language models for Indonesian social media discourse.
• Analyze temporal trends in user feedback over a nine-year period.
• Study app-specific issues and feature requests mentioned in reviews.

Strengths

• Contains 4 million data points, indicating a large sample size.
• Covers a nine-year time range from 2017 to 2026, allowing for longitudinal analysis.
• Focuses on a specific geographic and linguistic context: Indonesian reviews.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic and platform bias inherent to its source.

Provenance

Source

Google Play Store

Collection Method

Likely scraped or aggregated from public app store listings.

Time Range

2017 - 2026

Geography

Indonesia