The classifier works with two elements: categories and text.
A category is a tag that the text should be assigned to. Text contains the content that should belong to a specific category.
For example:The following text should be assigned to the category «Change of address»:
Change of address:
To train your classifier properly, a minimum of 10 examples per category have to be uploaded. To get a qualitatively high result, we recommend significantly more examples.
The principle that applies here is: The more examples you upload, the more accurate the classifier will be. Training examples can be added via data import or manually.