Tinder App User Reviews from Google Play Store

Google Play Store user reviews for the Tinder dating application. The dataset likely contains textual feedback and ratings submitted by users. The author, organization, and specific collection date are unknown.

Use Cases

• Analyze user sentiment trends based on textual review content.
• Identify common complaints or praises mentioned in user feedback.
• Study the relationship between review text and star ratings.
• Perform topic modeling on review text to extract recurring themes.

Strengths

• Data is sourced from a major public platform, Google Play Store.
• Reviews are likely recent, as described as 'latest'.

Limitations

• Row count, column names, and sample data are unknown.
• Description metadata is limited; actual data quality requires manual inspection after download.
• Data may reflect temporal and source bias inherent to Kaggle submissions.

Provenance

Source

Kaggle

Collection Method

Likely scraped or aggregated from Google Play Store.