Text Analytics
Turning conversations into actionable intelligence.
Text Analytics is an AI-powered conversation analysis platform designed to extract deep, meaningful insights from call transcripts and textual interactions. It goes beyond basic transcription to understand emotion, engagement, intent, and context, enabling organizations to make informed, data-driven decisions by transforming raw conversation data into structured intelligence.
The Challenge
Most existing solutions stop at surface-level analysis. They fail to detect emotion and sentiment shifts, understand pauses and engagement levels, identify key entities and topics, or turn raw conversation data into clear, actionable reports. As a result, organizations miss critical insights that impact performance, quality, and decision-making.
The Text Analytics Solution
Text Analytics applies advanced AI models to deeply analyze conversations and generate clear, insight-rich reports that highlight what truly matters. It enables teams to move from simply listening to calls to consistently learning from them.
How It Works
Conversation Ingestion
Call transcripts and text data are securely processed.
AI-Driven Analysis
Emotion, sentiment, engagement, pauses, and intent are evaluated.
Entity & Topic Extraction
Key names, issues, products, and actions are identified at scale.
Insight Reporting
Structured reports and summaries support quick decision-making.
Key Features
- ✔ Emotion and sentiment analysis
- ✔ Engagement and conversation flow detection
- ✔ Pause and duration analysis
- ✔ Key entity and topic extraction
- ✔ Insightful summaries and performance reports
Technology & Intelligence
Text Analytics is built on a modern, scalable architecture that supports high-volume analysis with speed and reliability. It uses AI models such as facebook/bart-large for contextual understanding and summarization, with a React frontend and Python backend. The platform is optimized to deliver accurate, explainable insights from complex conversation data.
Industry Use Cases
Customer support and contact centers
Sales and business development teams
Quality assurance and training departments
Product and operations teams
Business Impact
Legal professionals and researchers
Small and medium-sized businesses
Legal education and public awareness platforms