Amazon and Flipkart App Reviews with Sentiment Labels

1.4 million mobile app reviews from Amazon and Flipkart. The dataset is hosted on Kaggle and is likely intended for text classification and sentiment analysis tasks. The raw description indicates it contains sentiment labels, but specific column details and provenance are not provided.

Use Cases

• Train a sentiment classifier on e-commerce app reviews (inferred from domain, verify after download)
• Compare user sentiment between two major e-commerce platforms (inferred from domain, verify after download)
• Analyze common topics or issues in mobile app feedback (inferred from domain, verify after download)

Strengths

• Contains 1.4 million data points, providing a substantial corpus for analysis.
• Published on Kaggle, a platform with established data sharing and community features.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect temporal or source bias inherent to the original collection method.

Provenance

Source

Kaggle

Collection Method

Likely scraped from Google Play Store or Apple App Store, but the specific method is unknown.