Women's E-Commerce Clothing Reviews with 23,486 Customer Ratings

23,486 anonymized customer reviews for women's clothing from a real e-commerce retailer. Each review includes text, a rating, recommendation flag, and product categorization. The data is published under a CC0 license and was sourced from an anonymous commercial platform.

Use Cases

• Sentiment analysis and text classification based on review text and titles.
• Multivariate analysis of customer satisfaction based on rating, age, and recommendation status.
• Feature engineering for predicting product recommendations using review metadata and categorical product features.
• Analyzing the relationship between review text sentiment and the positive feedback count from other customers.

Strengths

• Contains 23,486 real customer reviews, providing a substantial corpus for analysis.
• Includes 10 feature variables such as review text, rating, age, and product categorization.
• Data is anonymized and published under a permissive CC0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.
• The source organization and specific collection time range are not provided.

Provenance

Source

Anonymous but real e-commerce retailer, hosted on OpenML.

Collection Method

Likely gathered from an e-commerce platform's review system, with company references anonymized.