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Call Classification Analytics

Build an automated call transcription and classification system using Langflow that converts audio files into structured data with AI-powered analysis for topic, sentiment, resolution status, and urgency labeling.

Objectives

  • Classify the call transcript based on:
    • Topic: e.g., Billing, Technical Support, Cancellation, Sales, Feedback.
    • Resolution: e.g., Resolved, Escalated, Pending.
    • Sentiment: e.g., Positive, Neutral, Negative.
    • Urgency: e.g., Low, Medium, High.

Save both the original transcript and the classification in the expected format.

Input Example 

"text": "Hello, I've been charged twice on my credit card. I'd like to get this sorted out quickly, please..."

Expected Workflow
Analyze the transcriptText and classify it:

"transcriptText": "...",  
"classification": {  
  "topic": "...",  
  "resolution": "...",  
  "sentiment": "...",  
  "urgency": "..."  
}

Notes

  • Base your classification on keywords, tone, and resolution intent.
  • If the transcript is ambiguous or lacks sufficient information, use "Unknown" for uncertain fields.
  • All fields in the classification object must be present.

Templates Overview

  • Chunk Classification
    Automate document processing with this Langflow workflow that ingests files, splits them into chunks...

  • CSV Query Assistant
    Automated document analysis assistant built with Langflow that processes uploaded files, extracts insights...

  • Data Extraction
    Transform unstructured documents like PDFs, emails, and web pages into structured, machine-readable formats.

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