Review Dataset [Media] – Public consumer feedback for sentiment and experience
Overview
Review Dataset [Media] – Public consumer feedback for sentiment and experience is a text dataset. Typical applications include evaluation & benchmarking and sentiment & opinion analysis. Relevant sectors: AI & Machine Learning, Consumer & Lifestyle, Customer Service and Retail & E-commerce. The listing mentions timestamps and classification labels. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
What the listing offers
- Listing mentions timestamps, classification labels.
"This dataset includes consumer-submitted reviews from over 5930 companies, covering both product- and service-based businesses. It’s built to support CX, AI, and analytics teams seeking structured insight into what real customers say, feel, and expect — across the Media industry. Each review includes: - Authentic customer reviews (text, rating, pros and cons) - Labeled sentiment and tone (positive, neutral, negative) - Service context across industries: purchase, delivery, support, return, usage - Industry and company filters (fully customizable per buyer request) - Optional metadata: platform, review length, timestamp, geo-location The list may vary based on the industry and can be customized as per your request. Use this dataset to: - Track public perception trends across specific brands or verticals - Segment sentiment insights by industry, region, or company - Power NLP pipelines that require diverse tone, emotion, and domain specificity - Build dashboards or LLM prompts grounded in real user language - Train review summarization, classification, or escalation engines This dataset offers flexibility for custom delivery-by industry, domain, or company, making it ideal for teams needing scalable consumer voice data tailored to specific strategic goals."
Related datasets
More in Text & Language →Review Dataset [E-Commerce] – Public consumer feedback for sentiment and experience
"This dataset includes consumer-submitted reviews from over 6000 companies, covering both product- and service-based businesses.
- Language
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- Volume
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- Domain
- AI & Machine Learning +3
- Use case
- Evaluation & benchmarking
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