8,000 skincare products and 1,000,000 user reviews sourced from Sephora's online catalog. The dataset includes product-level metadata and individual consumer feedback for items within the skincare category.
Use Cases
- Train sentiment analysis models using the 1,000,000 user reviews and associated ratings
- Perform text mining on review content to identify common skincare concerns or ingredient mentions
- Build recommendation engines by linking user review patterns to the 8,000 unique product entries
Strengths
- 8,000+ product records from the Sephora skincare category
- 1,000,000 user reviews containing text feedback and ratings
- Domain-specific focus on skincare consumer experiences