Should We Teach Literature Students How To Analyze Texts Algorithmically?

When the U.K. newspaper the Sunday Times outed J.K. Rowling as the author of detective novel The Cuckoo's Calling earlier this year, computer scientists were among the first people called in. Although the novel was published under the pen name Robert Galbraith, two computational scholars––including Duquesne University's Patrick Juola––were tasked with confirming or denying whether the novel belonged to the Harry Potter author, or one of three other possible writers. That Juola succeeded (his conclusions were later confirmed by Rowling herself) speaks volume about the the potential that algorithms and computer science can have, even with application to a field as notoriously subjective as literature. Which raises an interesting question: Can we use software to help us think about literature? Reverse Engineering J.K. Rowling To explore that question, we should first look at how the Juola cracked Rowling's writing style. To begin the process, Juola loaded 1,000–word samples of The Cuckoo's Calling in to his self–designed Java Graphical Authorship Attribution Program (JGAAP), along with several other texts, including The Casual Vacancy, Rowling's first post–Harry Potter novel. A freely available Java–based, modular program for textual analysis, categorization, and authorship attribution, JGAAP analyzed the texts on four different variables: word–length distribution, the use of common words like "the" and "of," recurring–word pairings, and the distribution of "character... Continue reading at 'Fast Company'

[ Fast Company | 2013-09-03 00:00:00 UTC ]

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