"Training a Text classification model with more than 1 training data inputs/outputs"
I have a process that is able to take text column and topic column, build the model and train it. I then can use this model to assign topic to new text.
However, I now need to be able to have 2nd topic column added and may be 3rd and 4th to tell the model that this also can be an option. For example text document can contain both Innovation and Teamwork topics. So I want the model to recognize those 2 topics in a piece of text and then provide the output accordingly. Any idea how to implement it in Rapidminer?
Thanks much for support!