Author: Patrick Juola
Publisher: Now Publishers Inc
ISBN: 160198118X
Category : Authorship, Disputed
Languages : en
Pages : 116
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.
Authorship Attribution
A Guide to the Scientific Career
Author: Mohammadali M. Shoja
Publisher: John Wiley & Sons
ISBN: 1118907426
Category : Science
Languages : en
Pages : 786
Book Description
A concise, easy-to-read source of essential tips and skills for writing research papers and career management In order to be truly successful in the biomedical professions, one must have excellent communication skills and networking abilities. Of equal importance is the possession of sufficient clinical knowledge, as well as a proficiency in conducting research and writing scientific papers. This unique and important book provides medical students and residents with the most commonly encountered topics in the academic and professional lifestyle, teaching them all of the practical nuances that are often only learned through experience. Written by a team of experienced professionals to help guide younger researchers, A Guide to the Scientific Career: Virtues, Communication, Research and Academic Writing features ten sections composed of seventy-four chapters that cover: qualities of research scientists; career satisfaction and its determinants; publishing in academic medicine; assessing a researcher’s scientific productivity and scholarly impact; manners in academics; communication skills; essence of collaborative research; dealing with manipulative people; writing and scientific misconduct: ethical and legal aspects; plagiarism; research regulations, proposals, grants, and practice; publication and resources; tips on writing every type of paper and report; and much more. An easy-to-read source of essential tips and skills for scientific research Emphasizes good communication skills, sound clinical judgment, knowledge of research methodology, and good writing skills Offers comprehensive guidelines that address every aspect of the medical student/resident academic and professional lifestyle Combines elements of a career-management guide and publication guide in one comprehensive reference source Includes selected personal stories by great researchers, fascinating writers, inspiring mentors, and extraordinary clinicians/scientists A Guide to the Scientific Career: Virtues, Communication, Research and Academic Writing is an excellent interdisciplinary text that will appeal to all medical students and scientists who seek to improve their writing and communication skills in order to make the most of their chosen career.
Publisher: John Wiley & Sons
ISBN: 1118907426
Category : Science
Languages : en
Pages : 786
Book Description
A concise, easy-to-read source of essential tips and skills for writing research papers and career management In order to be truly successful in the biomedical professions, one must have excellent communication skills and networking abilities. Of equal importance is the possession of sufficient clinical knowledge, as well as a proficiency in conducting research and writing scientific papers. This unique and important book provides medical students and residents with the most commonly encountered topics in the academic and professional lifestyle, teaching them all of the practical nuances that are often only learned through experience. Written by a team of experienced professionals to help guide younger researchers, A Guide to the Scientific Career: Virtues, Communication, Research and Academic Writing features ten sections composed of seventy-four chapters that cover: qualities of research scientists; career satisfaction and its determinants; publishing in academic medicine; assessing a researcher’s scientific productivity and scholarly impact; manners in academics; communication skills; essence of collaborative research; dealing with manipulative people; writing and scientific misconduct: ethical and legal aspects; plagiarism; research regulations, proposals, grants, and practice; publication and resources; tips on writing every type of paper and report; and much more. An easy-to-read source of essential tips and skills for scientific research Emphasizes good communication skills, sound clinical judgment, knowledge of research methodology, and good writing skills Offers comprehensive guidelines that address every aspect of the medical student/resident academic and professional lifestyle Combines elements of a career-management guide and publication guide in one comprehensive reference source Includes selected personal stories by great researchers, fascinating writers, inspiring mentors, and extraordinary clinicians/scientists A Guide to the Scientific Career: Virtues, Communication, Research and Academic Writing is an excellent interdisciplinary text that will appeal to all medical students and scientists who seek to improve their writing and communication skills in order to make the most of their chosen career.
Machine Learning Methods for Stylometry
Author: Jacques Savoy
Publisher: Springer Nature
ISBN: 3030533603
Category : Computers
Languages : en
Pages : 286
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.
Publisher: Springer Nature
ISBN: 3030533603
Category : Computers
Languages : en
Pages : 286
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.
Studies in Authorship Recognition
Author: Heike Hänlein
Publisher: Peter Lang Publishing
ISBN:
Category : Language Arts & Disciplines
Languages : en
Pages : 434
Book Description
Publisher: Peter Lang Publishing
ISBN:
Category : Language Arts & Disciplines
Languages : en
Pages : 434
Book Description
Researching Language and Social Media
Author: Ruth Page
Publisher: Routledge
ISBN: 1317676432
Category : Language Arts & Disciplines
Languages : en
Pages : 213
Book Description
Social Media is fast becoming a key area of linguistic research. This highly accessible guidebook leads students through the process of undertaking research in order to explore the language that people use when they communicate on social media sites. This textbook provides: An introduction to the linguistic frameworks currently used to analyse language found in social media contexts An outline of the practical steps and ethical guidelines entailed when gathering linguistic data from social media sites and platforms A range of illustrative case studies, which cover different approaches, linguistic topics, digital platforms, and national contexts Each chapter begins with a clear summary of the topics covered and also suggests sources for further reading to supplement the initial discussion and case studies. Written with an international outlook, Researching Language and Social Media is an essential book for undergraduate and postgraduate students of Linguistics, Media Studies and Communication Studies.
Publisher: Routledge
ISBN: 1317676432
Category : Language Arts & Disciplines
Languages : en
Pages : 213
Book Description
Social Media is fast becoming a key area of linguistic research. This highly accessible guidebook leads students through the process of undertaking research in order to explore the language that people use when they communicate on social media sites. This textbook provides: An introduction to the linguistic frameworks currently used to analyse language found in social media contexts An outline of the practical steps and ethical guidelines entailed when gathering linguistic data from social media sites and platforms A range of illustrative case studies, which cover different approaches, linguistic topics, digital platforms, and national contexts Each chapter begins with a clear summary of the topics covered and also suggests sources for further reading to supplement the initial discussion and case studies. Written with an international outlook, Researching Language and Social Media is an essential book for undergraduate and postgraduate students of Linguistics, Media Studies and Communication Studies.
Cognitive Approach to Natural Language Processing
Author: Bernadette Sharp
Publisher: Elsevier
ISBN: 008102343X
Category : Computers
Languages : en
Pages : 236
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
Publisher: Elsevier
ISBN: 008102343X
Category : Computers
Languages : en
Pages : 236
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
Automating Open Source Intelligence
Author: Robert Layton
Publisher: Syngress
ISBN: 012802917X
Category : Computers
Languages : en
Pages : 224
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
Publisher: Syngress
ISBN: 012802917X
Category : Computers
Languages : en
Pages : 224
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
A Companion to Digital Humanities
Author: Susan Schreibman
Publisher: John Wiley & Sons
ISBN: 1405168064
Category : Literary Criticism
Languages : en
Pages : 642
Book Description
This Companion offers a thorough, concise overview of the emerging field of humanities computing. Contains 37 original articles written by leaders in the field. Addresses the central concerns shared by those interested in the subject. Major sections focus on the experience of particular disciplines in applying computational methods to research problems; the basic principles of humanities computing; specific applications and methods; and production, dissemination and archiving. Accompanied by a website featuring supplementary materials, standard readings in the field and essays to be included in future editions of the Companion.
Publisher: John Wiley & Sons
ISBN: 1405168064
Category : Literary Criticism
Languages : en
Pages : 642
Book Description
This Companion offers a thorough, concise overview of the emerging field of humanities computing. Contains 37 original articles written by leaders in the field. Addresses the central concerns shared by those interested in the subject. Major sections focus on the experience of particular disciplines in applying computational methods to research problems; the basic principles of humanities computing; specific applications and methods; and production, dissemination and archiving. Accompanied by a website featuring supplementary materials, standard readings in the field and essays to be included in future editions of the Companion.
Intelligent Systems Technologies and Applications
Author: Sabu M. Thampi
Publisher: Springer
ISBN: 3319683853
Category : Technology & Engineering
Languages : en
Pages : 442
Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the third International Symposium on Intelligent Systems Technologies and Applications (ISTA’17), September 13-16, 2017, Manipal, Karnataka, India. All submissions were evaluated on the basis of their significance, novelty, and technical quality. This proceedings contains 34 papers selected for presentation at the Symposium.
Publisher: Springer
ISBN: 3319683853
Category : Technology & Engineering
Languages : en
Pages : 442
Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the third International Symposium on Intelligent Systems Technologies and Applications (ISTA’17), September 13-16, 2017, Manipal, Karnataka, India. All submissions were evaluated on the basis of their significance, novelty, and technical quality. This proceedings contains 34 papers selected for presentation at the Symposium.
The Idea of Progress in Forensic Authorship Analysis
Author: Tim Grant
Publisher:
ISBN: 1108971326
Category : Foreign Language Study
Languages : en
Pages : 83
Book Description
This Element examines progress in research and practice in forensic authorship analysis. It describes the existing research base and examines what makes an authorship analysis more or less reliable. Further to this, the author describes the recent history of forensic science and the scientific revolution brought about by the invention of DNA evidence. They chart the rise of three major changes in forensic science - the recognition of contextual bias in analysts, the need for validation studies and shift in logic of providing identification evidence. This Element addresses the idea of progress in forensic authorship analysis in terms of these three issues with regard to new knowledge about the nature of authorship and methods in stylistics and stylometry. The author proposes that the focus needs to shift to validation of protocols for approaching case questions, rather than on validation of systems or general approaches. This title is also available as Open Access on Cambridge Core.
Publisher:
ISBN: 1108971326
Category : Foreign Language Study
Languages : en
Pages : 83
Book Description
This Element examines progress in research and practice in forensic authorship analysis. It describes the existing research base and examines what makes an authorship analysis more or less reliable. Further to this, the author describes the recent history of forensic science and the scientific revolution brought about by the invention of DNA evidence. They chart the rise of three major changes in forensic science - the recognition of contextual bias in analysts, the need for validation studies and shift in logic of providing identification evidence. This Element addresses the idea of progress in forensic authorship analysis in terms of these three issues with regard to new knowledge about the nature of authorship and methods in stylistics and stylometry. The author proposes that the focus needs to shift to validation of protocols for approaching case questions, rather than on validation of systems or general approaches. This title is also available as Open Access on Cambridge Core.