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Authorship attribution in Turkish Texts

Authorship attribution in Turkish Texts PDF Author: Hülya Kocagül Yüzer
Publisher: Artsürem
ISBN: 6057228502
Category : Language Arts & Disciplines
Languages : en
Pages : 221

Book Description
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 attribution in Turkish Texts

Authorship attribution in Turkish Texts PDF Author: Hülya Kocagül Yüzer
Publisher: Artsürem
ISBN: 6057228502
Category : Language Arts & Disciplines
Languages : en
Pages : 221

Book Description
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

Character Level Authorship Attribution of Turkish Texts

Character Level Authorship Attribution of Turkish Texts PDF Author: Dilan Aksoy
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659238956
Category :
Languages : en
Pages : 56

Book Description
The software and hardware system that performs the author recognition process is called an author attribution system. Such systems aim at recognizing the authors of digitized dialogues and text messages. In recent years, practical applications for authorship attribution have gained wide adoption in areas such as criminal law, civil law and computer security. This study proposes an authorship attribution model that identifies the authors of Turkish texts automatically by utilizing specific features of the texts at character level

Advanced Intelligent Computing Theories and Applications - With Aspects of Theoretical and Methodological Issues

Advanced Intelligent Computing Theories and Applications - With Aspects of Theoretical and Methodological Issues PDF Author: De-Shuang Huang
Publisher: Springer
ISBN: 3540741712
Category : Computers
Languages : en
Pages : 1402

Book Description
This volume, in conjunction with the two volumes CICS 0002 and LNAI 4682, constitutes the refereed proceedings of the Third International Conference on Intelligent Computing held in Qingdao, China, in August 2007. The 139 full papers published here were carefully reviewed and selected from among 2,875 submissions. Collectively, these papers represent some of the most important findings and insights into the field of intelligent computing.

Natural Language Processing and Information Systems

Natural Language Processing and Information Systems PDF Author: Christian Kop
Publisher: Springer Science & Business Media
ISBN: 3540346163
Category : Computers
Languages : en
Pages : 238

Book Description
This book constitutes the refereed proceedings of the 11th International Conference on Applications of Natural Language to Information Systems, NLDB 2006, held in Klagenfurt, Austria in May/June 2006 as part of UNISCON 2006. The book presents 17 revised full papers and 5 revised short papers, organized in topical sections on concepts extraction and ontology, ontologies and task repository utilization, query processing, information retrieval and dialog processing, and NLP techniques.

Information Sciences and Systems 2015

Information Sciences and Systems 2015 PDF Author: Omer H. Abdelrahman
Publisher: Springer
ISBN: 3319226355
Category : Technology & Engineering
Languages : en
Pages : 444

Book Description
The 30th Anniversary of the ISCIS (International Symposium on Computer and Information Sciences) series of conferences, started by Professor Erol Gelenbe at Bilkent University, Turkey, in 1986, will be held at Imperial College London on September 22-24, 2015. The preceding two ISCIS conferences were held in Krakow, Poland in 2014, and in Paris, France, in 2013. The Proceedings of ISCIS 2015 published by Springer brings together rigorously reviewed contributions from leading international experts. It explores new areas of research and technological development in computer science, computer engineering, and information technology, and presents new applications in fast changing fields such as information science, computer science and bioinformatics. The topics covered include (but are not limited to) advances in networking technologies, software defined networks, distributed systems and the cloud, security in the Internet of Things, sensor systems, and machine learning and large data sets.

Artificial Intelligence and Industrial Applications

Artificial Intelligence and Industrial Applications PDF Author: Tawfik Masrour
Publisher: Springer Nature
ISBN: 3031435206
Category : Technology & Engineering
Languages : en
Pages : 493

Book Description
Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications. Covering a wide range of topics, the book highlights the adaptable nature of AI and its increasing impact on industrial sectors. It brings together contributions from an international cohort of researchers, discussing themes such as intelligent manufacturing and maintenance, intelligent supply chain management, various modes of learning including supervised, unsupervised, reinforcement, semi-supervised, and graph-based, as well as neural networks, deep learning, planning, and optimization. A defining feature of this edition is its extensive scope and emphasis on the practical applications of AI, along with its foundational elements. It facilitates an understanding of AI's current state and potential future direction, showcasing recent developments that bridge the gap between theory and practice. Designed for a diverse readership, this book is of interest to AI practitioners, academics, and enthusiasts, as well as to those new to the field. It provides an opportunity to explore AI's critical role in industrial applications, and the practical insights it offers are likely to be beneficial for decision-making within industrial settings.

Computer and Information Sciences - ISCIS 2004

Computer and Information Sciences - ISCIS 2004 PDF Author: Cevdet Aykanat
Publisher: Springer Science & Business Media
ISBN: 3540235264
Category : Computers
Languages : en
Pages : 1027

Book Description
This book constitutes the refereed proceedings of the 19th International Symposium on Computer and Information Sciences, ISCIS 2004, held in Kemer-Antalya, Turkey in October 2004. The 99 revised full papers presented together with an invited paper were carefully reviewed and selected from 335 submissions. The papers are organized in topical sections on artificial intelligence and machine learning, computer graphics and user interfaces, computer networks and security, computer vision and image processing, database systems, modeling and performance evaluation, natural language processing, parallel and distributed computing, real-time control applications, software engineering and programming, and theory of computing.

Machine Learning for Authorship Attribution and Cyber Forensics

Machine Learning for Authorship Attribution and Cyber Forensics PDF Author: Farkhund Iqbal
Publisher: Springer Nature
ISBN: 3030616754
Category : Computers
Languages : en
Pages : 158

Book Description
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.

Economic Recovery, Consolidation, and Sustainable Growth

Economic Recovery, Consolidation, and Sustainable Growth PDF Author: Abdylmenaf Bexheti
Publisher: Springer Nature
ISBN: 3031425111
Category : Business & Economics
Languages : en
Pages : 845

Book Description
This book presents carefully selected chapters from the proceedings of the 6th International Scientific Conference on Business and Economics (ISCBE),Tetovo, North Macedonia, which took place in May 2023. The chapters address a wide range of areas relevant to contemporary business and economics issues such as economic shocks, high inflation, energy crisis, COVID-19, growth prospects, economic forecast, labor market, gender inequalities, migration, entrepreneurship, and family businesses, firm development and innovations, technological transformation, etc. Researchers learn about the latest studies that discuss emerging challenges and perspectives of business and economics in the perspective of post-crisis economic recovery, consolidation, and stability.

Computational Linguistics and Intelligent Text Processing

Computational Linguistics and Intelligent Text Processing PDF Author: Alexander Gelbukh
Publisher: Springer
ISBN: 3319754874
Category : Computers
Languages : en
Pages : 652

Book Description
The two-volume set LNCS 9623 + 9624 constitutes revised selected papers from the CICLing 2016 conference which took place in Konya, Turkey, in April 2016. The total of 89 papers presented in the two volumes was carefully reviewed and selected from 298 submissions. The book also contains 4 invited papers and a memorial paper on Adam Kilgarriff’s Legacy to Computational Linguistics. The papers are organized in the following topical sections: Part I: In memoriam of Adam Kilgarriff; general formalisms; embeddings, language modeling, and sequence labeling; lexical resources and terminology extraction; morphology and part-of-speech tagging; syntax and chunking; named entity recognition; word sense disambiguation and anaphora resolution; semantics, discourse, and dialog. Part II: machine translation and multilingualism; sentiment analysis, opinion mining, subjectivity, and social media; text classification and categorization; information extraction; and applications.