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Sentiment Analysis Agent

Performs real-time sentiment detection with 8-emotion breakdown (joy, trust, anticipation, surprise, sadness, disgust, anger, fear). Detects intent signals (purchase, complaint, churn_risk, upsell, referral) and classifies urgency levels. Model: Claude 3.5 Sonnet. Metrics: 96.2% accuracy, 195ms latency.

Sentiment Analysis Agent

Part of AI-Powered Customer Journey Orchestrator

Portal: Nexgile AudiSense Nexus

Agent ID: sentiment-analysis-agent

Problem Statement

The challenge addressed

Understanding customer emotional state in real-time enables proactive intervention for at-risk customers and optimization of engagement timing.

Core Logic

How the agent solves it

Performs real-time sentiment detection with 8-emotion breakdown (joy, trust, anticipation, surprise, sadness, disgust, anger, fear). Detects intent signals (purchase, complaint, churn_risk, upsell, re...

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