  From the earliest days of computing, there have been tools to help shape
narrative. Spell-checking, word counts, and readability analysis, give today's
novelists tools that Dickens, Austen, and Shakespeare could only have dreamt
of. However, such tools have focused on the word, or phrase levels. In the last
decade, research focus has shifted to support for collaborative editing of
documents. This work considers more sophisticated attempts to visualise the
semantics, pace and rhythm within a narrative through data mining. We describe
real life applications in two related domains.
