Review Dataset [Marketplace Feedback] – Real buyer reviews from online platforms for feedback intelligence
Overview
Review Dataset [Marketplace Feedback] – Real buyer reviews from online platforms for feedback intelligence is a text dataset. Typical applications include fine-tuning & instruction data, conversational AI and sentiment & opinion analysis. The listing mentions classification labels. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
What the listing offers
- Listing mentions classification labels.
This dataset features consumer reviews about products and services of leading online marketplaces. It's structured to reveal unfiltered product and service experiences. From delivery issues to satisfaction highlights, it reflects what real customers say in their own words — empowering data-driven feedback systems. Data includes: -Free-form review text from buyers about global e-commerce platforms -Tagged themes (shipping, quality, returns, pricing, service interaction) -Platform identifier (e.g., Amazon, eBay, Walmart – when available) -Sentiment classification and user tone patterns -Metadata such as review length, category, and product/service type The list may vary based on the industry and can be customized as per your request. Use this dataset to: -Analyze common customer feedback themes by product or category -Train feedback recognition models for product QA or escalation detection -Develop AI tools for review clustering, summarization, or rating prediction -Track sentiment shifts on third-party platforms -Identify pain points affecting buyer trust and product reputation With millions of records and structured insight fields, this dataset helps companies scale customer understanding and automate product intelligence pipelines across marketplace ecosystems.
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- Language
- Hindi
- Volume
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- Domain
- Customer Service +2
- Use case
- Speech recognition