1. A method of training a target classifier to categorize textual data, the method comprising: matching a trained classifier to the target classifier, the trained classifier sharing at least one common attribute with the target classifier; selecting identifiers from the trained classifier, the identifiers being predictors of a sentiment of the textual data as one of a positive opinion or a negative opinion; and associating the identifiers with the target classifier.