Authorship attribution
By: Patrick Juola
Series: Foundations and trends in information retrieval -- vol. 1, issue 3; Foundations and trends in information retrieval -- 1:3.
Publisher: Now
Published: 2008
Place of publication: Boston
Language: eng
Format: [electronic resource] /
Number of pages: 104
ISBN-13: 9781601981196; 9781601981189
Subjects: LANGUAGE ARTS & DISCIPLINES; Methodology; Publishing; Authorship; Disputed Authorship; Research
Description: 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. Analyses are difficult to apply, little is known about type or rate of errors, and few "best practices" are available. In part because of this confusion, the field has perhaps had less uptake and general acceptance than is its due.

This review surveys the history and present state of the discipline, presenting some comparative results when available. It shows, first, that the discipline is quite successful, even in difficult cases involving small documents in unfamiliar and less studied languages; it further analyzes the types of analysis and features used and tries to determine characteristics of well-performing systems, finally formulating these in a set of recommendations for best practices.
Notes: Includes bibliographical references (p. 95-104).

Description based on print version record.
Table of contents: title: Abstract; title: 1. Introduction; title: 2. Background and history; title: 3. Linguistic and mathematical background; title: 4. Linguistic features; title: 5. Attributional analysis; title: 6. Empirical testing; title: 7. Other applications of authorship attribution; title: 8. Special problems of linguistic forensics; title: 9. Recommendations; title: References.