Daily Facebook App Reviews From Google Play

Daily updated reviews of the Facebook app on the Google Play Store. The dataset is sourced from Kaggle and is updated daily, providing a continuous stream of user feedback. The original author and specific collection methodology are not specified.

Use Cases

• Analyze sentiment trends in review text over time to track public perception.
• Correlate review ratings with specific app update dates mentioned in the time-series data.
• Identify common complaint or praise topics from review text using topic modeling.
• Train a classifier to predict review rating based on the textual content of the review.

Strengths

• Daily update frequency ensures the data reflects recent user sentiment.
• Data is sourced from a major app marketplace (Google Play), providing real user feedback.

Limitations

• Unknown total row count and historical depth limit reproducibility and trend analysis.
• Lack of column details prevents assessment of available features like rating, date, or review length.
• Geographic and demographic coverage of reviewers is unspecified, which may introduce bias.

Provenance

Source

Google Play Store, via Kaggle.

Collection Method

Scraped or collected from public Google Play Store listings.

Freshness

Daily updates.