A Prototype for Authorship Attribution Studies

A Prototype for Authorship Attribution Studies

Despite a century of research, statistical and computational methods for authorship attribution are neither reliable, well-regarded, widely-used, or well-understood. This paper presents a survey of the current state-ofthe-art as well as a framework for uniform and unified development of a tool to apply the state-of-the-art, despite the wide variety of methods and techniques used. The usefulness...

Authorship Attribution

Authorship attribution, the science of inferring characteristics of the author from the characteristics of documents written by that author, is a problem with a long history and a wide range of application. Recent work in “non-traditional” authorship attribution demonstrates the practicality of automatically analyzing documents based on authorial style, but the state of the art is confusing. An...

Authorship Attribution for Electronic Documents

An Authorship Attribution for Serbian

An authorship attribution is a problem of identifying the author of an anonymous or disputed text if there is a closed set of candidate authors. Due to the richness of natural languages and numerous ways of expressing individuality in a writing process, this task employs all the sources of language knowledge: lexis, syntax, semantics, orthography, etc. The impressive results of n-gram based alg...

Unsupervised authorship attribution

We describe a technique for attributing parts of a written text to a set of unknown authors. Nothing is assumed to be known a priori about the writing styles of potential authors. We use multiple independent clusterings of an input text to identify parts that are similar and dissimilar to one another. We describe algorithms necessary to combine the multiple clusterings into a meaningful output....