Hi,
I have a general question on text mining regarding a business case. Note sure if I understood the concept of text mining 100% but let me explain my issue:
Imagine you need to analyze and categorize insurrance contract agreements as pdf-files.
For example the contract contains a statement like: "cancelation of the contract is possbile after death" or "cancelation of the contract is possible whenever you like". In that case I would categorize both statements into the "cancelation" categories plus a furhter subcategory needs to be created for "cancelation -> death" and "cancelation -> free".
Imagine now, another sampled contract would contain a sentence like "the termination of the contract is only possbile when the agent passed away". (sorry couldn Thing about something better :P). In that case it would fit to subcategory death but only content wise.
So far so good, I guess manually creating your dictionary would be possible.
My question is now: Is there any automatized/ ML-learning approach to categorize this classification dictionaries without manually defining and categorizing sentences?
Maybe it is possible to "train" a dictionary ML algorithm?
And in case, can the SAS Text Mining Software solve such Tasks?
Thanks,
KS
