Sentiment Analysis

🔹 Sentiment Strategy & Use Case Design

Align sentiment insights with business goals.

• Use case identification & KPI definition
• Data source assessment (social, reviews, chats, surveys)
• Sentiment taxonomy & labeling strategy
• Multilingual sentiment planning

🔹 Text Analytics & NLP

Extract meaning from unstructured text.

• Sentiment polarity (positive, neutral, negative)
• Emotion detection (joy, anger, frustration, etc.)
• Aspect-based sentiment analysis
• Topic modeling & keyword extraction

🔹 AI & Machine Learning Models

Accurate sentiment models tailored to your domain.

• Rule-based & ML-based sentiment models
• Deep learning & transformer-based NLP
• Domain-specific model training
• Sarcasm & context-aware analysis

🔹 Real-Time Sentiment Monitoring

Track sentiment as it evolves.

• Live dashboards & alerts
• Social media & customer feedback monitoring
• Trend & sentiment shift analysis
• Brand reputation tracking

🔹 Integration & Deployment

Make sentiment insights accessible across teams.

• CRM, contact center & marketing tools integration
• APIs for sentiment scoring
• Cloud, on-prem, & hybrid deployments
• Scalable, secure architectures

Use Cases We Enable

• Customer feedback & review analysis
• Social media & brand sentiment tracking
• Customer support quality monitoring
• Voice-of-customer (VoC) analytics
• Product & campaign performance analysis
• Market research & competitive intelligence

Our Approach

• 1. Discover – Define objectives and data sources
• 2. Prepare – Clean, label, and structure text data
• 3. Analyze – Apply NLP and sentiment models
• 4. Visualize – Deliver insights through dashboards
• 5. Deploy – Integrate into business workflows
• 6. Improve – Continuously refine accuracy

Why Choose Our Sentiment Analysis Solutions

• High-accuracy, domain-aware models
• Multilingual & omnichannel support
• Real-time and batch analysis
• Scalable & secure solutions
• Business-focused insights, not just scores

Industries We Serve

• Retail & E-commerce
• Banking & Financial Services
• Telecommunications
• Media & Entertainment
• Healthcare
• Travel & Hospitality