1. A computer-implemented method for classifying content publishers, comprising: receiving data associated with a plurality of classified content publishers, the data including training data and testing data; training a classifier model using at least a portion of the training data; defining a first category of the classifier model, the first category identifying allowable content publishers; defining a second category of the classifier model, the second category identifying disallowable content publishers; defining a third category of the classifier model, the third category identifying content publishers needing further review; testing the classifier model using at least a portion of the testing data; determining that a precision level associated with the classifier model has at least met a specified precision threshold; receiving data associated with an unclassified content publisher; calculating a score for the unclassified content publisher based at least in part on processing the data associated with the unclassified content publisher using the classifier model; and classifying the unclassified content publisher as belonging to one of the first category, the second category, or the third category, the classifying being based upon the score for the unclassified content publisher.