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Author: Patrick Juola
Publisher: Now Publishers Inc
ISBN: 160198118X
Category : Authorship, Disputed
Languages : en
Pages : 116
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Book Description
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.
Author: Patrick Juola
Publisher: Now Publishers Inc
ISBN: 160198118X
Category : Authorship, Disputed
Languages : en
Pages : 116
Get Book Here
Book Description
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.
Author: Harold Love
Publisher: Cambridge University Press
ISBN: 9780521789486
Category : Language Arts & Disciplines
Languages : en
Pages : 284
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Book Description
Recent 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: Petr Plecháč
Publisher: Charles University in Prague, Karolinum Press
ISBN: 8024648717
Category : Literary Criticism
Languages : en
Pages : 96
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Book Description
The 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: Bansal, Himani
Publisher: IGI Global
ISBN: 1522550984
Category : Business & Economics
Languages : en
Pages : 339
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Book Description
Social 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: Jacques Savoy
Publisher: Springer Nature
ISBN: 3030533603
Category : Computers
Languages : en
Pages : 294
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Book Description
This 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: Kim Luyckx
Publisher: ASP / VUBPRESS / UPA
ISBN: 9054878231
Category : Computers
Languages : en
Pages : 197
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Book Description
Provides 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: Pamela O. Long
Publisher: JHU Press
ISBN: 0801872820
Category : Technology & Engineering
Languages : en
Pages : 381
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Book Description
A 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
ISBN: 1782161414
Category : Computers
Languages : en
Pages : 431
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Book Description
This 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.
Author: Bernadette Sharp
Publisher: Elsevier
ISBN: 008102343X
Category : Computers
Languages : en
Pages : 236
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Book Description
As natural language processing spans many different disciplines, it is sometimes difficult to understand the contributions and the challenges that each of them presents. This book explores the special relationship between natural language processing and cognitive science, and the contribution of computer science to these two fields. It is based on the recent research papers submitted at the international workshops of Natural Language and Cognitive Science (NLPCS) which was launched in 2004 in an effort to bring together natural language researchers, computer scientists, and cognitive and linguistic scientists to collaborate together and advance research in natural language processing. The chapters cover areas related to language understanding, language generation, word association, word sense disambiguation, word predictability, text production and authorship attribution. This book will be relevant to students and researchers interested in the interdisciplinary nature of language processing. - Discusses the problems and issues that researchers face, providing an opportunity for developers of NLP systems to learn from cognitive scientists, cognitive linguistics and neurolinguistics - Provides a valuable opportunity to link the study of natural language processing to the understanding of the cognitive processes of the brain
Author: Robert Layton
Publisher: Syngress
ISBN: 012802917X
Category : Computers
Languages : en
Pages : 224
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Book Description
Algorithms for Automating Open Source Intelligence (OSINT) presents information on the gathering of information and extraction of actionable intelligence from openly available sources, including news broadcasts, public repositories, and more recently, social media. As OSINT has applications in crime fighting, state-based intelligence, and social research, this book provides recent advances in text mining, web crawling, and other algorithms that have led to advances in methods that can largely automate this process. The book is beneficial to both practitioners and academic researchers, with discussions of the latest advances in applications, a coherent set of methods and processes for automating OSINT, and interdisciplinary perspectives on the key problems identified within each discipline. Drawing upon years of practical experience and using numerous examples, editors Robert Layton, Paul Watters, and a distinguished list of contributors discuss Evidence Accumulation Strategies for OSINT, Named Entity Resolution in Social Media, Analyzing Social Media Campaigns for Group Size Estimation, Surveys and qualitative techniques in OSINT, and Geospatial reasoning of open data. - Presents a coherent set of methods and processes for automating OSINT - Focuses on algorithms and applications allowing the practitioner to get up and running quickly - Includes fully developed case studies on the digital underground and predicting crime through OSINT - Discusses the ethical considerations when using publicly available online data
