Customer Sentiment & Opinion Mining
Unlock valuable insights from customer feedback with our extensive review and rating datasets. Access 100M+ customer reviews from TrustPilot, Google Play, App Store, Amazon, and other major platforms to understand customer sentiment, identify issues, and improve your products or services.
Our sentiment analysis datasets include customer reviews, ratings, timestamps, responses, and rich metadata perfect for natural language processing, opinion mining, and sentiment classification.
100M+
Customer Reviews
Comprehensive review data across platforms and industries
25+
Languages
Multi-lingual review data for global sentiment analysis
Brand Perception Analysis
Monitor and analyze how customers perceive your brand or competitors:
Brand Monitoring Capabilities:
- Overall Sentiment Score: Track aggregated positive, negative, and neutral sentiment
- Sentiment Trends: Monitor how brand perception changes over time
- Topic Analysis: Identify what aspects customers discuss most
- Competitive Comparison: Compare your brand sentiment against competitors
- Crisis Detection: Identify sudden drops in sentiment or spikes in negative reviews
- Influencer Mentions: Track mentions from influential reviewers and customers
Review Data Sources
We collect comprehensive review data from:
- TrustPilot: 50M+ business reviews
- Google Play: 50M+ app reviews
- App Store: Millions of iOS app reviews
- Amazon: Product reviews and ratings
- Yelp: Local business reviews
- Google Reviews: Business reviews
Product Sentiment Tracking
Analyze customer feedback on products to drive product development and marketing strategies:
Feature Praise
Identify which product features customers love and mention most positively.
Pain Points
Discover product issues and common complaints to prioritize improvements.
Feature Requests
Extract customer suggestions and requests for new features or improvements.
Competitive Edge
Compare sentiment on your products vs. competitors to find differentiation opportunities.
What's Included in Our Review Datasets:
- Review text (full content)
- Star ratings (1-5 scale)
- Review dates and timestamps
- Reviewer information (when available)
- Verified purchase indicators
- Product/business information
- Review categories and tags
- Helpful votes and interactions
- Business responses to reviews
- Language and location data
Sentiment Analysis Applications
Use our review datasets for various sentiment analysis and NLP applications:
Machine Learning Training
Train sentiment classification models with labeled review data showing positive, negative, and neutral sentiments.
Voice of Customer Analysis
Understand customer needs, preferences, and pain points directly from their feedback.
Quality Assurance
Identify product quality issues and defects mentioned in customer reviews.
Marketing Insights
Extract customer language and messaging that resonates for marketing campaigns.
Product Development
Prioritize feature development based on customer feedback and requests.
Customer Support
Identify common issues to improve support documentation and training.
Start Analyzing Customer Sentiment
Access 100M+ customer reviews for sentiment analysis, NLP training, and business intelligence. Available in structured formats with comprehensive metadata.