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Authorship Attribution (Foundations and Trends in Information Retrieval) download ebook

by Patrick Juola

Authorship Attribution (Foundations and Trends in Information Retrieval) download ebook
ISBN:
160198118X
ISBN13:
978-1601981189
Author:
Patrick Juola
Publisher:
Now Publishers Inc (March 6, 2008)
Language:
Pages:
116 pages
ePUB:
1817 kb
Fb2:
1290 kb
Other formats:
lit doc lrf docx
Category:
Computer Science
Subcategory:
Rating:
4.7

Foundations and Trends R in Information Retrieval Vol. 1, No. 3 (2006) 233–334 c 2008 P. Juola DOI .

Foundations and Trends R in Information Retrieval Vol. Juola DOI: 1. 561/1500000005. 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 autho-rial style, but the state of the art is confusing.

Foundations and trends in information retrieval (Online), Foundations and trends in information retrieval. 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.

Authorship Attribution.

Ross S. Purves Paul Clough Christopher B. Jones Mark H. Hall Vanessa Murdock.

Foundations and Trends® in Information Retrieval Vol 1 Issue 3. Patrick Juola, Department of Mathematics and Computer Science, Duquesne University, USA, juolacs.

Authorship attribution is an important problem in information retrieval and computational . In Foundations and Trends in Information Retrieval, Volume 1, Issue 3, March 2008. Moshe Koppel, Jonathan Schler, and Shlomo Argamon.

Authorship attribution is an important problem in information retrieval and computational linguistics but also in applied areas such as law and journalism where knowing the author of a document (such as a ransom note) may enable . law enforcement to save lives. Computational Methods Authorship Attribution. Journal of the American Society for Information Science and Technology, Volume 60, Issue 1, pages 9-26, January 2009. Efstathios Stamatatos.

It was established in 2004 and is published by Now Publishers. Each issue comprises a single 50-150 page monograph. Foundations and Trends® in Information Retrieval 1 (3), 233-334, 2008. Ad-hoc authorship attribution competition. Proceedings of the Joint Conference of the Association for Computers and th. 2004. A connectionist model of English past tense and plural morphology. Cognitive Science 23 (4), 463-490, 1999. Killer applications in digital humanities.

Author attribution, foundations and trends in information. Effective authorship attribution using function word. In Proceedings of the 2nd AIRS Asian information retrieval symposium (pp. 174–190). Retrieval, 1(3), 233–334. CrossRefGoogle Scholar. Keselj, . Peng, . Cercone, . & Thomas, C. (2003). N-Gram-Based Author Profiles for Authorship Attribution. In Proceeding of PACLING’03 (pp. 255–264). Zheng, . Li, . Chen, . & Huang, Z. (2006).

Foundations and Trends book. Goodreads helps you keep track of books you want to read. Start by marking Foundations and Trends: Authorship Attribution as Want to Read: Want to Read savin. ant to Read.

Attribution, a Foundation and Trends in Information Retrieval monograph dedicated to explaining attribution methods broadly and his own work and philosophy in particular. The following text includes frequent reference to the monograph, as it provides the underpinning for Juola’s approach to attribution via JGAAP. 4 Main Page, ww. gaap.

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. It is an important problem not only in information retrieval but in many other disciplines as well, from technology to teaching and from finance to forensics. The idea that authors have a statistical "fingerprint'' that can be detected by computers is a compelling one that has received a lot of research attention. Authorship Attribution surveys the history and present state of the discipline, presenting some comparative results where available. It also provides a theoretical and empirically-tested basis for further work. Many modern techniques are described and evaluated, along with some insights for application for novices and experts alike. Authorship Attribution will be of particular interest to information retrieval researchers and students who want to keep up with the latest techniques and their applications. It is also a useful resource for people in other disciplines, be it the teacher interested in plagiarism detection or the historian interested in who wrote a particular document.