Before classification can begin, you need to tell Pulse Classifier where your response data lives. You can either upload a file from your computer or connect to an existing Smartinterview survey question. Once the data is loaded, you map the columns so the AI knows which text to classify and how to identify each respondent in the output.Documentation Index
Fetch the complete documentation index at: https://docs.smartinterview.ai/llms.txt
Use this file to discover all available pages before exploring further.
Supported file formats
Pulse Classifier accepts the following file types:| Format | Extension | Notes |
|---|---|---|
| Excel workbook | .xlsx, .xls | Supports multiple sheets; one sheet is selected for classification. |
| SPSS data file | .sav | Variable labels are used as column names where available. |
Files with very large numbers of responses may take longer to process and consume more tokens. See token usage for details.
Uploading a file
- Drag and drop
- File picker
Drag your file from your file manager directly onto the upload area on the Pulse Classifier page. The file uploads immediately and the sheet list loads automatically.
Multi-column classification
If your file has several open-ended columns that each require their own topic plan, you can set up multiple coding plans — one per column group. Pulse Classifier automatically detects text columns in your file and groups them into an initial plan. Use Add plan to create additional plans with different topic sets and classification parameters.Using an existing Smartinterview survey question
Instead of uploading a file, you can classify responses collected directly through a Smartinterview survey.Select a question
Choose the open-ended question whose responses you want to classify. Only questions with text responses are shown.
When classifying a survey question, you do not need to configure a sheet or column — Pulse Classifier fetches the response data directly from the survey.

