Customer Clothing Reviews & Ratings

Dataset Features

• WC_ID: Unique identifier for each review.
• Clothing ID: Identifier for the specific clothing item being reviewed.
• Age: Age of the reviewer.
• Title: The title or summary of the review.
• Review Text: The full text of the review written by the customer.
• Rating: Numerical rating of the product (1-5).
• Recommended IND: Boolean indicating whether the reviewer recommends the product (1 = Yes, 0 = No).
• Positive Feedback Count: Number of upvotes received for the review.
• Division Name: The major category of the clothing item (e.g., General, General Petite).
• Department Name: The specific department of the item (e.g., Dresses, Tops).
• Class Name: The subcategory of the item (e.g., Blouses, Knits).

Distribution

• Data Volume: 19662 rows and 11 columns.
• Format: Tabular dataset, suitable for analysis in CSV.

Usage

• Sentiment Analysis: Extracting customer sentiment from review texts.
• Product Improvement: Identifying design flaws and areas for enhancement.
• Recommendation Systems: Training AI models to suggest relevant clothing items.
• Marketing & Consumer Insights: Understanding customer preferences and purchase behavior.

Coverage

• Geographic Coverage: Global.
• Demographics: Includes a wide age range of reviewers with diverse fashion preferences.

License

Who Can Use It

• Data Scientists: For training machine learning models on sentiment analysis.
• Researchers: To study consumer behavior and preferences in the fashion industry.
• Businesses: To improve product designs, marketing strategies, and customer satisfaction.
• E-commerce Platforms: For enhancing recommendation systems and customer engagement.