Abstract: Apparatuses, components, methods, and techniques for classifying content are provided. An example method classifies textual content as objectionable. Another example identifies relevant attributes for the content. The example method includes analyzing a body of the content to determine a level of similarity between text in the content and a corpus of predetermined content. The example method further includes upon determining that the level of similarity is greater than a predefined threshold using natural language processing to extract a plurality of features from the content, the features being associated with concepts related to the body of the content. The example method further includes analyzing the extracted features to determine a second level of similarity between the content and the corpus of predetermined content. The example method further includes upon determining that the second level of similarity is greater than a second predefined threshold, classifying the content as objectionable.

Abstract: A method and a computer data signal including instructions for processing printed unit orders for printing on printers adapted for printing N pages across a print web. The orders are grouped based on page type (e.g., size, thickness, color) and binding type into print batches. These print batches are sorted, processed and then sent to the printer. Printed units may be organized with N single printed units printed in parallel across the web, a single printed unit sorted into N sections printed in parallel across all of the webs, or in super batches including multiple printed units, with N super batches printed in parallel across the web.