Training your dictionary with phrases?

[kosmirnov]

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