With such increasing popularity and availability of digital text data, authorships of digital texts can not be taken for granted due to the ease of copying and parsing. This paper presents a new text style analysis called natural frequency zoned word distribution analysis (NFZ-WDA), and then a basic authorship attribution scheme and an open authorship attribution scheme for digital texts based ...

they don’t necessarily provide a coherent account— be used as a basis for further processing. Ideally, the document would be thoroughly analyzed using linguistic and world knowledge to determine which sentences are appropriate for the extract. In practice, the necessary analysis is still too immature or too computationally intensive to yield sufficient results. Many existing systems extract sen...

The legend for Fig 1, " Attachment style in Avoidant personality disorder (AvPD, n = 70) and Social phobia (SP, n = 20) " is incorrect. The complete, correct Fig 1 legend can be viewed here. Copyright: © 2015 Eikenaes et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in an...

In this paper, we describe computer-aided authorship testing on the Middle High German (MHG) text Apollonius von Tyrland written by Heinrich von Neustadt (HvN) in the late 13th century. Being based on a Latin original, HvN is suspected to incorporate other sources into the translation. We investigate assumptions regarding a segmentation of this text into parts supposedly tracking back to differ...

It is our main purpose in this paper to approach the quasi-pseudometrization problem in (bi)topological spaces in a way which generalizes all the well-known results on the subject naturally, and which is close to a " Bing-Nagata-Smirnov style " characterization of quasi-pseudometrizability. under the Creative Commons Attribution License, which permits unrestricted use, distribution , and reprod...

Identifying writing style shifts and variations are fundamental capabilities when addressing authorship related tasks. In this work we examine a simplified approach for unsupervised authorship and plagiarism detection which is based on binary bag of words representation. We evaluate our approach using PAN-2012 Authorship Attribution challenge data, which includes both open/closed class authorsh...