I fellowed the 02_document_classfication example workflow.
I got more than 2000 document need to be classfied, I labelled 200 and inputed them to SVM learner & SVM predictor. The SVM predictor can add a new column as prediction results. But I don't know how to let the model remember the pattern to classify the rest no-labelled document.