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How can a single person understand what's going on in a collection of millions of documents? This is an increasingly widespread problem: sifting through an organization's e-mails, understanding a decade worth of newspapers, or characterizing a scientific field's research. This monograph explores the ways that humans and computers make sense of document collections through tools called topic models. Topic models are a statistical framework that help users understand large document collections; not just to find individual documents but to understand the general themes present in the collection....

"Created by Joe Infurnari, Joseph Keatinge, Christopher Sebela, Joshua Williamson."

The crew returns to Kings Dominion to discover things have changed in their absence. Master Lin's schemes are revealed in the authors' darkly humorous look at the 1980s underground comes full circle. Collects #36-40.