Google Play Store User Reviews for Sentiment Analysis

User reviews from the Google Play Store, likely containing text feedback and associated metadata. The dataset is hosted on Kaggle, a platform for data science competitions and projects. Columns may suggest fields for app identification, review text, and user ratings.

Use Cases

• Train a sentiment classifier on app review text (inferred from domain, verify after download)
• Analyze common user complaints or feature requests for specific app categories (inferred from domain, verify after download)
• Correlate review sentiment with numeric star ratings (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a major platform for data science resources.
• Platform tags indicate relevance for mobile apps and sentiment analysis tasks.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file size, and last update date are unknown.

Provenance

Source

Google Play Store

Collection Method

Likely scraped or collected via public API, but specific method is unknown.

Time Range

null

Freshness

Last update date is unknown; freshness unverified.

Geography

null