Workflow Automation Templates
A library of ready-to-use workflow templates to accelerate your data journey
Different Text Analysis
Analyze text for tone, emotion, & sentiment
Overview
This workflow performs multiple text analyses—tone, emotion, and sentiment—on diarized conversations using PySpark. Each analysis pipeline extracts and interprets linguistic and emotional nuances to provide deeper insights into text data.
Details
The process begins with the Diarized Conversation dataset.
Each Text Analysis node targets a specific aspect—tone detection, emotion classification, or sentiment scoring—followed by iterative execution loops for dynamic processing.
Results are visualized using Graph Values nodes to highlight trends and variations across conversations.
This modular structure enables comprehensive text understanding for NLP-driven insights.