Graig - thanks for the quick reply - yes, training set has a categorical target variable - in the Getting Started with SAS Text Miner 13.2 tutorial that I have I see nothing in Chapter 7 about how apply the model trained on observations in one file to un-categorized observations in another file - nowhere do I see how the second file either gets read into the project and run as a test set or to have the model built on the training set read into another project with the un-categorized test set everything in Chapter 7 is from the single VAERS file read at the beginning - the way I understand the chapter is that the Decision Tree nodes are all applied to the test partition of the original data data after the Text Topics and Rule Builder nodes did their work, not from a test set of observations in another file what I want to do is to build the model on the first phase of a multiple phase sampling study and have it applied to the subsequent samples collected possibly some time after the original sample is there a way to save the results of the Decision Tree node from the first sample so that if a new sample is read into the project the model can be applied to this second sample to categorized its responses? or if the model can be stored somewhere and a new project is created for the second sample can that model be retrieved form where is was stored and applied to the new sample? after the results of the applying the model to the second sample are checked and found acceptable this might be a way to increase the training set on which an updated model is built for analyzing subsequent samples in a sort of bootstrap manner am I an a reasonable track here? - peter j
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