I am trying to set up a process that will process my data to improve the quality of the classifications added - I will try and set out the over arching story and then the part I would like advice and guidance on:
I have a set of events which can have a number of yes/no type classifications - any event can have any number of classifications and it is normally down to the user to ensure that these are properly applied. There are some fields on the database that can be logic checked to help (if field X states Yes then so should field Y) - I have this aspect sorted out but what I would also like is to be able to throw up those events that are missing classifications based on the presence of certain keywords.
My challenge is that I also have a descriptive text that I would like to check - I want to use words as words, and not just do the blanket string search since that will miss out or incorrect flag up many things. So if the check term is “dance” I would like to draw back “dancing” and “danced” as well, and ideally suggested synonyms too although that is less important currently since they will be less strongly associated with the classification.
I can get to the point where the workflow deals with the data up to the point of the textual process but am not sure what node will be able to apply the logic and would like a steer on this to help me get a few steps forward.