This feature allows you to import categorized text from Excel or a text analysis feature (such as List of Items) into the Text Categorization module. It creates a QCodes file that maps the text to the categories, which can then be imported into the Text Categorization module. Any text responses not categorized will show as Unclassified in the Text Categorization tool, and you can click Classify to use AI to categorize into the existing categories or manually categorize those.
Requirements
A data set that includes:
- A single Text variable that was categorized (note that Text-Multi variable sets are not supported).
- A variable set that includes the categories that has a Structure of Nominal for a single theme for each case or Binary-Multi for multiple themes per case.
Usage
This feature creates a QCodes file to be imported into the Text Categorization module in Displayr.
- In the Data Sources tree, select the Text variable with the responses.
- In Properties
for that variable, select Data > Text Analysis > Create QCodes File.
- You will be prompted to select a variable set representing the categorization of the above Text variable:
- For Only one theme, a single Nominal variable needs to be selected.
- For Multiple themes, a single Binary - Multi variable set needs to be selected.
- You will be prompted to Select location to save and specify the File name. Do so and click OK.
- Click your initials in the top right corner and Displayr Cloud Drive to open the cloud drive in a new tab.
- Go to the location where you saved the file.
- Click on the file name to download the QCodes to your computer.
- Back in your Document, click on the Text variable with the responses again.
- Hover and click + > Text Categorization to open the module.
- Select the type of categorization that corresponds to the original variable set that you used to make the QCodes file (from step 3 above) and click Start.
- Import your QCodes file by clicking the Import button and selecting the file from your computer.
All text responses that were categorized before will be auto-classified in the Text Categorization module. Any responses that weren't categorized previously or new unique responses that show up after the data is updated will show as Unclassified. You can then use the Classify button to use AI to auto-classify those or manually classify those yourself in the tool.
See also
How to Reuse an Existing Categorization (Code Frame) in a Different Document