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Author: Patrick Juola
Publisher: Now Publishers Inc
Published: 2008
Total Pages: 116
ISBN-13: 160198118X
DOWNLOAD EBOOKAuthorship 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.
Author: Petr Plecháč
Publisher: Charles University in Prague, Karolinum Press
Published: 2021-07-01
Total Pages: 96
ISBN-13: 8024648717
DOWNLOAD EBOOKThe technique known as contemporary stylometry uses different methods, including machine learning, to discover a poem’s author based on features like the frequencies of words and character n-grams. However, there is one potential textual fingerprint stylometry tends to ignore: versification, or the very making of language into verse. Using poetic texts in three different languages (Czech, German, and Spanish), Petr Plecháč asks whether versification features like rhythm patterns and types of rhyme can help determine authorship. He then tests its findings on two unsolved literary mysteries. In the first, Plecháč distinguishes the parts of the Elizabethan verse play The Two Noble Kinsmen written by William Shakespeare from those written by his coauthor, John Fletcher. In the second, he seeks to solve a case of suspected forgery: how authentic was a group of poems first published as the work of the nineteenth-century Russian author Gavriil Stepanovich Batenkov? This book of poetic investigation should appeal to literary sleuths the world over.
Author: Harold Love
Publisher: Cambridge University Press
Published: 2002-06-20
Total Pages: 284
ISBN-13: 9780521789486
DOWNLOAD EBOOKRecent literary scholarship has seen a shift of interest away from questions of attribution. Yet these questions remain urgent and important for any historical study of writing, and have been given a powerful new impetus by advances in statistical studies of language and the coming on line of large databases of texts in machine-searchable form. The present book is the first comprehensive survey of the field from a literary perspective to appear for forty years. It covers both traditional and computer based approaches to attribution, and evaluates each in respect of their potentialities and limitations. It revisits a number of famous controversies, including those concerning the authorship of the Homeric poems, books from the Old and New Testaments, and the plays of Shakespeare. Written with wit as well as erudition Attributing Authorship will make this intriguing field accessible for students and scholars alike.
Author: Jacques Savoy
Publisher: Springer Nature
Published: 2020-09-28
Total Pages: 286
ISBN-13: 3030533603
DOWNLOAD EBOOKThis book presents methods and approaches used to identify the true author of a doubtful document or text excerpt. It provides a broad introduction to all text categorization problems (like authorship attribution, psychological traits of the author, detecting fake news, etc.) grounded in stylistic features. Specifically, machine learning models as valuable tools for verifying hypotheses or revealing significant patterns hidden in datasets are presented in detail. Stylometry is a multi-disciplinary field combining linguistics with both statistics and computer science. The content is divided into three parts. The first, which consists of the first three chapters, offers a general introduction to stylometry, its potential applications and limitations. Further, it introduces the ongoing example used to illustrate the concepts discussed throughout the remainder of the book. The four chapters of the second part are more devoted to computer science with a focus on machine learning models. Their main aim is to explain machine learning models for solving stylometric problems. Several general strategies used to identify, extract, select, and represent stylistic markers are explained. As deep learning represents an active field of research, information on neural network models and word embeddings applied to stylometry is provided, as well as a general introduction to the deep learning approach to solving stylometric questions. In turn, the third part illustrates the application of the previously discussed approaches in real cases: an authorship attribution problem, seeking to discover the secret hand behind the nom de plume Elena Ferrante, an Italian writer known worldwide for her My Brilliant Friend’s saga; author profiling in order to identify whether a set of tweets were generated by a bot or a human being and in this second case, whether it is a man or a woman; and an exploration of stylistic variations over time using US political speeches covering a period of ca. 230 years. A solutions-based approach is adopted throughout the book, and explanations are supported by examples written in R. To complement the main content and discussions on stylometric models and techniques, examples and datasets are freely available at the author’s Github website.
Author: Bansal, Himani
Publisher: IGI Global
Published: 2018-03-23
Total Pages: 339
ISBN-13: 1522550984
DOWNLOAD EBOOKSocial technology is quickly becoming a vital tool in our personal, educational, and professional lives. Its use must be further examined in order to determine the role of social media technology in organizational settings to promote business development and growth. Social Network Analytics for Contemporary Business Organizations is a critical scholarly resource that analyzes the application of social media in business applications. Featuring coverage on a broad range of topics, such as business management, dynamic networks, and online interaction, this book is geared towards professionals, researchers, academics, students, managers, and practitioners actively involved in the business industry.
Author: Hülya Kocagül Yüzer
Publisher: Artsürem
Published: 2022-12-31
Total Pages: 221
ISBN-13: 6057228502
DOWNLOAD EBOOKThe latest developments in the field of computer technology have created new ways to share information without time and space limits. Computer technologies have not only made life easier and more accessible for users, but they have also opened up a new arena for illegal activities. These illegal actions have found an opportunity to spread via e-mails, websites, Internet chat rooms, forum pages, and social networking websites (like Facebook, Twitter, Instagram). Online contributors do not need to provide information such as their real names, the city where they live, age or gender in order to share their opinions, and such feelings of anonymity encourage criminal activities. Thus, disputed authorship cases have become one of the main challenges of the technological era. This research is a corpus-based simulated authorship casework application in Turkish. Texts for the corpora were collected from a collaborative online encyclopaedia – Eksi Sozluk (Sour Times) and Twitter. The corpus consists of 900 texts from 52 authors in total. However, 105 texts belong to seven authors from Twitter. The two methodological approaches that were applied are qualitative and statistical methods, according to Grant’s (2013) approach. Ten different tests were applied, depending on the various parameters that are forensically possible in real-world cases. Accordingly, the role of feature type, size, including the candidate author size, text size and a limited number of texts per author and finally cross-genre application were tested. The analyses revealed that such a combined approach has promising results in some tests in that they attributed authorship in Turkish. The findings of the research indicated that there is the potential to attribute unknown authors in Turkish and it appears that the results have significant conclusions for the broader application of forensic authorship attribution techniques in Turkish texts. Keywords: Authorship Attribution, Turkish, Forensic Linguistics, Authorship Analysis
Author: Kim Luyckx
Publisher: ASP / VUBPRESS / UPA
Published: 2011-08
Total Pages: 197
ISBN-13: 9054878231
DOWNLOAD EBOOKProvides an in-depth and systematic study of the so-called scalability issues in authorship attribution -- the task that aims to identify the author of a text, given a model of authorial style based on texts of known authorship. Computational authorship attribution does not rely on in-depth reading, but rather automates the process. This book investigates the behavior of a text categorization approach to the task when confronted with scalability issues. By addressing the issues of experimental design, data size, and author set size, the dissertation demonstrates whether the approach taken is valid in experiments with limited or sufficient data, and with small or large sets of authors.
Author: Jed Wyrick
Publisher: Harvard University Department of Comparative Literature
Published: 2004
Total Pages: 536
ISBN-13:
DOWNLOAD EBOOKTracing the history of the idea of the author beginning with attribution practices of Second Temple and Rabbinic Judaism, Wyrick argues that the fusion of Jewish and Hellenistic approaches to attribution helped lead to Augustine's reinvention of the writer of scripture as an author whose texts were governed by both divine will and human intent.
Author: Pamela O. Long
Publisher: JHU Press
Published: 2003-04-30
Total Pages: 381
ISBN-13: 0801872820
DOWNLOAD EBOOKA history of the book and intellectual property that includes military technology and military secrets. Winner of The Morris D. Forkosch Prize from the Journal of the History of Ideas In today's world of intellectual property disputes, industrial espionage, and book signings by famous authors, one easily loses sight of the historical nature of the attribution and ownership of texts. In Openness, Secrecy, Authorship: Technical Arts and the Culture of Knowledge from Antiquity to the Renaissance, Pamela Long combines intellectual history with the history of science and technology to explore the culture of authorship. Using classical Greek as well as medieval and Renaissance European examples, Long traces the definitions, limitations, and traditions of intellectual and scientific creation and attribution. She examines these attitudes as they pertain to the technical and the practical. Although Long's study follows a chronological development, this is not merely a general work. Long is able to examine events and sources within their historical context and locale. By looking at Aristotelian ideas of Praxis, Techne, and Episteme. She explains the tension between craft and ideas, authors and producers. She discusses, with solid research and clear prose, the rise, wane, and resurgence of priority in the crediting and lionizing of authors. Long illuminates the creation and re-creation of ideas like "trade secrets," "plagiarism," "mechanical arts," and "scribal culture." Her historical study complicates prevailing assumptions while inviting a closer look at issues that define so much of our society and thought to this day. She argues that "a useful working definition of authorship permits a gradation of meaning between the poles of authority and originality," and guides us through the term's nuances with clarity rarely matched in a historical study.
Author: Willi Richert
Publisher: Packt Publishing Ltd
Published: 2013-01-01
Total Pages: 431
ISBN-13: 1782161414
DOWNLOAD EBOOKThis is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technologies instead of showing how to write your own implementations of algorithms. This book is a scenario-based, example-driven tutorial. By the end of the book you will have learnt critical aspects of Machine Learning Python projects and experienced the power of ML-based systems by actually working on them.This book primarily targets Python developers who want to learn about and build Machine Learning into their projects, or who want to pro.
