Authorship Attribution
DOWNLOAD
Download Authorship Attribution PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Authorship Attribution book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Authorship Attribution
DOWNLOAD
Author : Patrick Juola
language : en
Publisher: Now Publishers Inc
Release Date : 2008
Authorship Attribution written by Patrick Juola and has been published by Now Publishers Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.
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.
Versification And Authorship Attribution
DOWNLOAD
Author : Petr Plecháč
language : en
Publisher: Charles University in Prague, Karolinum Press
Release Date : 2021-07-01
Versification And Authorship Attribution written by Petr Plecháč and has been published by Charles University in Prague, Karolinum Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-01 with Literary Criticism categories.
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.
Scalability Issues In Authorship Attribution
DOWNLOAD
Author : Kim Luyckx
language : en
Publisher: ASP / VUBPRESS / UPA
Release Date : 2011-08
Scalability Issues In Authorship Attribution written by Kim Luyckx and has been published by ASP / VUBPRESS / UPA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08 with Computers categories.
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.
Machine Learning For Authorship Attribution And Cyber Forensics
DOWNLOAD
Author : Farkhund Iqbal
language : en
Publisher: Springer Nature
Release Date : 2020-12-04
Machine Learning For Authorship Attribution And Cyber Forensics written by Farkhund Iqbal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-04 with Computers categories.
The book first explores the cybersecurity’s landscape and the inherent susceptibility of online communication system such as e-mail, chat conversation and social media in cybercrimes. Common sources and resources of digital crimes, their causes and effects together with the emerging threats for society are illustrated in this book. This book not only explores the growing needs of cybersecurity and digital forensics but also investigates relevant technologies and methods to meet the said needs. Knowledge discovery, machine learning and data analytics are explored for collecting cyber-intelligence and forensics evidence on cybercrimes. Online communication documents, which are the main source of cybercrimes are investigated from two perspectives: the crime and the criminal. AI and machine learning methods are applied to detect illegal and criminal activities such as bot distribution, drug trafficking and child pornography. Authorship analysis is applied to identify the potential suspects and their social linguistics characteristics. Deep learning together with frequent pattern mining and link mining techniques are applied to trace the potential collaborators of the identified criminals. Finally, the aim of the book is not only to investigate the crimes and identify the potential suspects but, as well, to collect solid and precise forensics evidence to prosecute the suspects in the court of law.
Social Network Analytics For Contemporary Business Organizations
DOWNLOAD
Author : Himani Bansal
language : en
Publisher: Business Science Reference
Release Date : 2018
Social Network Analytics For Contemporary Business Organizations written by Himani Bansal and has been published by Business Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Business & Economics categories.
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.
Machine Learning Methods For Stylometry
DOWNLOAD
Author : Jacques Savoy
language : en
Publisher: Springer
Release Date : 2020-11-23
Machine Learning Methods For Stylometry written by Jacques Savoy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-23 with Computers categories.
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.
Authorship Attribution In Turkish Texts
DOWNLOAD
Author : Hülya Kocagül Yüzer
language : en
Publisher: Artsürem
Release Date : 2022-12-31
Authorship Attribution In Turkish Texts written by Hülya Kocagül Yüzer and has been published by Artsürem this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-31 with Language Arts & Disciplines categories.
The 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
Authorship Analysis In Chinese Social Media Texts
DOWNLOAD
Author : Shaomin Zhang
language : en
Publisher:
Release Date : 2024-03-29
Authorship Analysis In Chinese Social Media Texts written by Shaomin Zhang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-29 with Language Arts & Disciplines categories.
This Element explores the sentiment and keyword features in both authorship profiling and authorship attribution in social media texts in the Chinese cultural context. The key findings can be summarised as follows: firstly, sentiment scores and keyword features are distinctive in delineating authors' gender and age. Specifically, female and younger authors tend to be less optimistic and use more personal pronouns and graduations than male and older authors, respectively. Secondly, these distinctive profiling features are also distinctive and significant in authorship attribution. Thirdly, our mindset, shaped by our inherent hormonal influences and external social experiences, plays a critical role in authorship. Theoretically, the findings expand authorship features into underexplored domains and substantiate the theory of mindset. Practically, the findings offer some broad quantitative benchmarks for authorship profiling cases in the Chinese cultural context, and perhaps other contexts where authorship profiling analyses have been used. This title is also available as Open Access on Cambridge Core.
American Revolutions In The Digital Age
DOWNLOAD
Author : Nora Slonimsky
language : en
Publisher: Cornell University Press
Release Date : 2024-08-15
American Revolutions In The Digital Age written by Nora Slonimsky and has been published by Cornell University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-15 with History categories.
The interdisciplinary essays in American Revolutions in the Digital Age explore what digital tools can tell us about the late eighteenth- and early nineteenth-century United States and reveal how an understanding of the American past can make sense of our digital present. By employing a host of innovative digital research methods, these authors challenge long-held assumptions about the American past. In addition, this collection uniquely demonstrates how contemporary anxieties about an array of topics, including media disinformation, patriarchy, economic inequality, and public memory, can be better understood through careful considerations of early American history. Open Access edition funded by Iona University
Future Data And Security Engineering Big Data Security And Privacy Smart City And Industry 4 0 Applications
DOWNLOAD
Author : Tran Khanh Dang
language : en
Publisher: Springer Nature
Release Date : 2022-11-19
Future Data And Security Engineering Big Data Security And Privacy Smart City And Industry 4 0 Applications written by Tran Khanh Dang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-19 with Computers categories.
This book constitutes the refereed proceedings of the 9th International Conference on Future Data and Security Engineering, FDSE 2022, held in Ho Chi Minh City, Vietnam, during November 23–25, 2022. The 41 full papers(including 4 invited keynotes) and 12 short papers included in this book were carefully reviewed and selected from 170 submissions. They were organized in topical sections as follows: invited keynotes; big data analytics and distributed systems; security and privacy engineering; machine learning and artificial intelligence for security and privacy; smart city and industry 4.0 applications; data analytics and healthcare systems; and security and data engineering.