Customer Voice ML
Transform Feedback into Insights

Advanced sentiment analysis platform powered by XLM-RoBERTa + Twitter-RoBERTa ensemble. Turn customer feedback into actionable business intelligence with multi-label classification, multilingual support, and real-time analytics.

Analyze Customer Voice Batch Analysis
System Status
Two-Model Ensemble Active
XLM-RoBERTa: 60.0%
Twitter-RoBERTa: 40.0%
Device: CPU (forced)
Performance: 16.8 texts/sec
✓ Multi-label Classification
✓ Business Intelligence
✓ UX Prioritization
✓ Auto FedEx Analysis
✓ 5+ Languages

Two-Model Ensemble Architecture

Cutting-edge weighted ensemble combining XLM-RoBERTa and Twitter-RoBERTa for superior accuracy and multilingual support

Two-Model Ensemble

Weighted voting system combining XLM-RoBERTa (60.0%) and Twitter-RoBERTa (40.0%) with intelligent fallback mechanisms and cache optimization.

XLM-RoBERTa (60.0%) + Twitter-RoBERTa (40.0%)
Multi-Label Aspects

Revolutionary multi-label classification detecting primary + secondary aspects, mixed concerns, and classification types beyond traditional single-label systems.

Primary Aspect Secondary Aspects Mixed Concerns
Auto FedEx Analysis

Automated collection and analysis of real FedEx mobile app reviews with 7-day data freshness and background processing threads.

1000 Reviews
UX Prioritization

Intelligent business logic automatically elevates user experience issues with weighted priority scoring (1.5x multiplier) and severity assessment.

HIGH Priority MEDIUM Priority LOW Priority
Business Intelligence

Automated generation of actionable recommendations, severity levels, immediate action flags, and comprehensive BI dashboards with real-time updates.

Auto Recommendations Severity Assessment Action Flags
Optimized Performance

GPU acceleration, intelligent caching, batch processing optimization, and automatic device selection for maximum throughput.

CPU (forced) Cache Optimization Batch Processing

Ensemble Performance Metrics

95%+
Ensemble Accuracy
XLM-RoBERTa + Twitter-RoBERTa weighted voting
90%+
Multi-Label Precision
Primary + secondary aspect detection
20+
Texts/Second
CPU (forced) processing speed
85%+
Cache Hit Rate
Intelligent caching system

Advanced ML Architecture

Professional-grade system combining multiple state-of-the-art models with intelligent business logic and real-time processing capabilities.

Current System Configuration
Processing
CPU (forced)
Ensemble
Active
Languages
5+ Supported
Loaded Components:
Two-Model Ensemble Multi-Label Aspects Business Intelligence UX Prioritization Auto FedEx Analysis

Experience the Two-Model Ensemble

Choose your analysis method and see the power of weighted ensemble ML in action

Ensemble Text Analysis

Experience the two-model ensemble with XLM-RoBERTa + Twitter-RoBERTa weighted voting for superior accuracy and confidence.

Start Ensemble Analysis
Batch Ensemble Processing

Upload CSV/Excel files for optimized batch processing with two-model ensemble and comprehensive business intelligence.

Upload for Ensemble
Live FedEx Dashboard

View real-time analysis of FedEx mobile app reviews with ensemble-powered insights and automated business intelligence.

View Live Dashboard

Technical Excellence

Two-Model Ensemble (CPU (forced))
Multi-label aspect classification
Two-model ensemble sentiment analysis
User experience prioritization
Mixed concerns detection
Business priority levels
Severity assessment
Actionable recommendations
Business intelligence reporting
Ensemble performance metrics
Cache optimization
Learn More About Our Architecture