Transform Feedback into Action: Advanced Entity Sentiment Analysis
For developers, data scientists, and business teams. Transform customer feedback into actionable insights with enterprise-grade AI models.
Why Entity-Based Analysis Changes Everything
See how Sentor transforms sentiment analysis from vague opinions to actionable intelligence
Customer Reviews
Just stayed at @GrandPlazaHotel! Amazing room quality and perfect location in downtown. Staff service was exceptional - they upgraded us for free! Great value for money considering everything included.
Business trip at @CityInnSuites. Decent room quality and good location near airport. However, WiFi was painfully slow and breakfast quality was disappointing. Cleanliness could be better too.
Weekend getaway at @GrandPlazaHotel 💕 Incredible amenities - spa, pool, gym all top-notch! Food quality exceeded expectations, especially the breakfast buffet. Lightning-fast WiFi throughout. Worth every penny!
Stayed at @CityInnSuites for conference. Great value for money and helpful staff at reception. Basic amenities but sufficient. Room cleanliness was questionable - found hair in bathroom. Mixed experience overall.
Anniversary celebration at @GrandPlazaHotel 🥂 Impeccable cleanliness everywhere, outstanding staff service made us feel special. Premium amenities and excellent food quality. This is luxury done right! 🌟
My stay at @CityInnSuites was excellent. The staff was friendly and helpful.
Sentor's Entity Analysis
Automatically extracts sentiment for each hotel aspect from reviews
Groups similar feedback to identify patterns and trends
Enables data-driven comparisons between competitors
Topic Modeling Analysis
Advanced clustering using BERTopic with LLM-based topic naming. Our system automatically analyzes customer feedback from two hotels, identifying key themes and sentiment patterns across multiple dimensions to provide actionable business insights.
Topic Distribution Comparison
Visualizes how different topics are distributed across Grand Plaza Hotel and City Inn Suites. Each bar represents the percentage of customer feedback associated with specific topics, enabling quick identification of which themes dominate guest conversations at each property and revealing distinct positioning strategies.
Hierarchical Topic Structure
Displays the hierarchical relationships between customer feedback topics using an interactive dendrogram. Topics that share semantic similarity are grouped together, revealing how broad themes like 'amenities' branch into specific subtopics like 'spa services' or 'room features', helping identify natural content clusters.
Inter-Topic Similarity Matrix
A correlation heatmap revealing the semantic relationships between all identified topics. Darker colors indicate stronger associations, helping discover unexpected connections—for instance, feedback about 'cleanliness' often correlates with 'staff service', suggesting operational areas that influence each other and should be managed together.
Interactive Topic Space
An immersive 3D visualization mapping topics in semantic space using dimensionality reduction. Each sphere represents a topic cluster, with proximity indicating similarity. Rotate the visualization to explore topic relationships from different angles and identify patterns. With our business plans, you can customize the number of clusters manually to match your analytical needs.
Real-World Success Stories
See how businesses across industries use Sentor to transform customer feedback into actionable insights.
E-commerce Store
Challenge: Understanding which product features drive customer satisfaction and returns.
Sentor Solution:
- Analyzed sentiment for "quality", "shipping", "packaging", "price"
- Identified correlation between "size accuracy" complaints and returns
- Enabled data-driven product improvement decisions
Service Businesses
Challenge: Understanding customer satisfaction across restaurants, cafes, bars, beauty salons, and spas despite positive overall reviews.
Sentor Solution:
- Analyzed sentiment for "service quality", "atmosphere", "cleanliness", and "staff professionalism"
- Identified specific pain points like "wait times", "booking experience", and "value for money"
- Enabled targeted improvements in operations and customer experience
Booking Platform
Challenge: Creating automated pros and cons summaries from thousands of hotel reviews.
Sentor Solution:
- Automatically extracted positive aspects: "location", "cleanliness", "staff"
- Identified negative patterns: "noise", "wifi issues", "breakfast quality"
- Generated dynamic pros/cons lists for each property
Healthcare Provider
Challenge: Understanding patient experience from thousands of feedback forms to improve care quality and operational efficiency.
Sentor Solution:
- Analyzed sentiment for entities like "wait times", "staff friendliness", and "facility cleanliness"
- Identified specific pain points in "appointment scheduling" and "medication information"
- Enabled targeted staff training and process improvements based on entity insights
Political Campaign
Challenge: Understanding public sentiment on key policy issues across social media and news coverage in real-time.
Sentor Solution:
- Tracked sentiment for specific policies like "healthcare reform", "education funding", and "climate action"
- Identified emerging concerns and trending topics in voter feedback
- Enabled data-driven messaging strategy and rapid response to public opinion shifts
Trading Platform
Challenge: Analyzing trader sentiment and feedback to improve platform features and identify pain points in stock and forex trading.
Sentor Solution:
- Analyzed sentiment around "execution speed", "platform stability", "charting tools", and "customer support"
- Identified frustrations with "mobile app performance" and positive feedback on "research features"
- Enabled prioritization of technical improvements based on trader feedback patterns
Advanced AI-Powered Features
Built with state-of-the-art transformer-based AI models and designed for enterprise scalability, Sentor delivers comprehensive entity-based sentiment analysis capabilities that go beyond traditional sentiment analysis.
Entity-Based Analysis
Unlike traditional sentiment analysis, Sentor identifies and evaluates individual entities within text, providing granular insights into what customers love and hate about specific aspects of your business.
Real-Time Insights
Get instant sentiment analysis results with our high-performance AI models. Monitor brand sentiment and identify trending topics in real-time. Process thousands of feedback items simultaneously with sub-second response times.
Self Evaluate
Evaluate your own products, services, and brand aspects using detailed entity-based sentiment analysis. Identify strengths, weaknesses, and opportunities for improvement directly from customer feedback to drive internal enhancements.
Brand Comparisons
Compare your brand sentiment against competitors by calling the API twice per brand/product and analyzing side-by-side entity comparisons. Track market positioning, benchmark performance, and identify competitive advantages with precise insights.
Negativity/Positivity Clustering
Configurable clustering groups similar positive and negative feedback to identify patterns and trends. Customize clustering parameters for actionable insights, root cause analysis, and prioritized improvement areas based on your specific needs.
Enterprise Security & Scalability
GDPR compliant with AES-256 encryption and tiered retention policies. Scale from thousands to millions of data points with enterprise-grade reliability and 99.9% uptime on Hetzner infrastructure.
Global Reporting
Multilingual support for English with expansion to European languages. Generate comprehensive PDF/Excel reports with custom entity grouping, automated insights, and trend analysis.
Choose Your Solution
Whether you're a developer building applications, a data scientist analyzing trends, or a business team seeking insights - we have the right solution for you.
API for Enterprises
Integrate advanced sentiment analysis into your applications, ML pipelines, and data workflows. Built for developers and data scientists who need programmatic access to entity-based insights.
- RESTful API & Python/JS SDKs
- Batch processing for large datasets
- JSON responses for easy integration
- Comprehensive documentation
Dashboard for SMBs
An intuitive dashboard that makes advanced sentiment analysis accessible to every business, no technical expertise required.
- Visual insight dashboards
- One-click analysis
- Automated reporting
- Team collaboration tools
Transform Every Type of Feedback
Customer Reviews
Analyze product reviews to identify what customers love and what needs improvement across different features.
Social Media Mentions
Monitor brand sentiment across social platforms and identify trending topics and emerging issues in real-time.
Support Tickets
Understand customer pain points and satisfaction drivers from support interactions to improve service quality.
Survey Responses
Extract actionable insights from open-ended survey responses and feedback forms with entity-level granularity.
Ready to Transform Your Customer Insights?
Choose the solution that fits your business needs and start understanding your customers like never before.