- Introduction to Automated Text Analytics
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What is Automated Text Analytics?
- How Automated Text Analytics Works
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The Automated Text Analytics Process
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How to Generate a Topic Model
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Summary, Next Steps, and Resources
Omnichannel Automated Text Analytics
Learn how Automated Text Analytics uses AI to identify topics, sentiment, and emotion across surveys, calls, chats, and reviews — without manual coding.
Course Summary: This course explains how Automated Text Analytics uses generative AI to categorize unstructured text and apply enrichments like sentiment, effort, and emotion. You'll learn how topic models are generated and how the AI organizes feedback at the sentence level. By the end, you'll understand what Automated Text Analytics delivers and how to plan implementation with your Qualtrics team.
Learning Objective: Understand how to generate and configure an automated topic model to analyze unstructured feedback across channels.
Best For: CX program managers and analysts looking to scale text analysis across multiple feedback channels
Recommended Prerequisites: It is strongly recommended that you have experience with Qualtrics CX dashboards and familiarity with unstructured feedback data (open-ended survey responses, call transcripts, or chat logs).