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Authorship Attribution - download pdf or read online

By Patrick Juola

ISBN-10: 160198118X

ISBN-13: 9781601981189

ISBN-10: 1601981198

ISBN-13: 9781601981196

Authorship attribution, the technology of inferring features of the writer from the features of files written via that writer, is an issue with a protracted historical past and quite a lot of program. it really is an immense challenge not just in info retrieval yet in lots of different disciplines to boot, from know-how to instructing and from finance to forensics. the concept authors have a statistical "fingerprint'' that may be detected through desktops is a compelling one who has obtained loads of study recognition. Authorship Attribution surveys the heritage and current nation of the self-discipline, proposing a few comparative effects the place on hand. It additionally presents a theoretical and empirically-tested foundation for additional paintings. Many sleek strategies are defined and evaluated, in addition to a few insights for program for beginners and specialists alike. Authorship Attribution could be of specific curiosity to details retrieval researchers and scholars who are looking to stay alongside of the most recent ideas and their purposes. it's also an invaluable source for individuals in different disciplines, be it the trainer drawn to plagiarism detection or the historian attracted to who wrote a selected rfile.

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The difference, the so-called “Kullback–Liebler divergence,” or KL-distance, is thus defined as H(P, Q) − H(P ). 3 Kolmogorov Complexity A major weakness with the simple formulation of entropy above is the identification of the “event” space of interest. Are events words, parts of words, phrases? Furthermore, the probabilities may disguise a hidden dependency structure unknown to the analysts. For this reason, other researchers rely on a different formulation of “information” in the form of Kolmogorov complexity [97] (also called Chaitin complexity).

1 Simple Statistics The simplest form of supervised analysis, used since the 1800s, is simple descriptive statistics. For example, given a set of documents from two different authors, we can easily calculate word lengths [106] and (handwaving a few statistical assumptions) apply t-tests to determine whether the two authors have different means. Once we have done that, we can apply logistic regression to estimate the authorship (and our confidence in that authorship) of a novel document (with more than two authors, we could use ANOVA to similar purposes).

2 Supervised Analysis 47 Fig. 4 Dendrogram of authorship for five novelists (data and figure courtesy of David Hoover). that this additional information can be helpful in arriving at methods of categorization. 1 Simple Statistics The simplest form of supervised analysis, used since the 1800s, is simple descriptive statistics. For example, given a set of documents from two different authors, we can easily calculate word lengths [106] and (handwaving a few statistical assumptions) apply t-tests to determine whether the two authors have different means.

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Authorship Attribution by Patrick Juola


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