AI-Powered Analysis
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Exporting Classified Responses with Confidence Scores
Once your open-ended responses are classified, getting them out of Opionate and into a spreadsheet, client deliverable, or second review pass is one export away - including the confidence signal if you want it.
Reviewing and Correcting Individual AI Classifications
Editing your category set fixes the categories themselves. This is about the other kind of correction - fixing one specific response that landed in the wrong category, without touching anything else.
Using AI-Generated Categories as a Starting Point for a Custom Taxonomy
You don't have to accept or reject an AI-generated category set as-is. Treating it as a first draft - keeping what's useful, rebuilding the rest - is often faster than either extreme.
Combining Text Analytics Results with Structured Questions in One Report
Once an open-ended question is classified, its categories behave like any other question's answer options - which means you can cross-tab open-ended themes against your structured questions in the same report.
Auditing AI Classification Accuracy on Your Own Data
Trusting Text Analytics results for a client deliverable means being able to show your work. Here's a practical process for auditing classification accuracy on your own survey before you report the numbers.