Humanities Data Analysis

Author by : Folgert Karsdorp
Languange : en
Publisher by : Princeton University Press
Format Available : PDF, ePub, Mobi
Total Read : 57
Total Download : 877
File Size : 43,6 Mb
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Description : A practical guide to data-intensive humanities research using the Python programming language The use of quantitative methods in the humanities and related social sciences has increased considerably in recent years, allowing researchers to discover patterns in a vast range of source materials. Despite this growth, there are few resources addressed to students and scholars who wish to take advantage of these powerful tools. Humanities Data Analysis offers the first intermediate-level guide to quantitative data analysis for humanities students and scholars using the Python programming language. This practical textbook, which assumes a basic knowledge of Python, teaches readers the necessary skills for conducting humanities research in the rapidly developing digital environment. The book begins with an overview of the place of data science in the humanities, and proceeds to cover data carpentry: the essential techniques for gathering, cleaning, representing, and transforming textual and tabular data. Then, drawing from real-world, publicly available data sets that cover a variety of scholarly domains, the book delves into detailed case studies. Focusing on textual data analysis, the authors explore such diverse topics as network analysis, genre theory, onomastics, literacy, author attribution, mapping, stylometry, topic modeling, and time series analysis. Exercises and resources for further reading are provided at the end of each chapter. An ideal resource for humanities students and scholars aiming to take their Python skills to the next level, Humanities Data Analysis illustrates the benefits that quantitative methods can bring to complex research questions. Appropriate for advanced undergraduates, graduate students, and scholars with a basic knowledge of Python Applicable to many humanities disciplines, including history, literature, and sociology Offers real-world case studies using publicly available data sets Provides exercises at the end of each chapter for students to test acquired skills Emphasizes visual storytelling via data visualizations


Data Analytics In Digital Humanities

Author by : Shalin Hai-Jew
Languange : en
Publisher by : Springer
Format Available : PDF, ePub, Mobi
Total Read : 9
Total Download : 337
File Size : 52,8 Mb
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Description : This book covers computationally innovative methods and technologies including data collection and elicitation, data processing, data analysis, data visualizations, and data presentation. It explores how digital humanists have harnessed the hypersociality and social technologies, benefited from the open-source sharing not only of data but of code, and made technological capabilities a critical part of humanities work. Chapters are written by researchers from around the world, bringing perspectives from diverse fields and subject areas. The respective authors describe their work, their research, and their learning. Topics include semantic web for cultural heritage valorization, machine learning for parody detection by classification, psychological text analysis, crowdsourcing imagery coding in natural disasters, and creating inheritable digital codebooks.Designed for researchers and academics, this book is suitable for those interested in methodologies and analytics that can be applied in literature, history, philosophy, linguistics, and related disciplines. Professionals such as librarians, archivists, and historians will also find the content informative and instructive.


Humanities Data In R

Author by : Taylor Arnold
Languange : en
Publisher by : Springer
Format Available : PDF, ePub, Mobi
Total Read : 61
Total Download : 935
File Size : 45,5 Mb
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Description : ​This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods, individual and collaborative work, and the humanities and social sciences. Humanities Data with R does not presuppose background programming experience. Early chapters take readers from R set-up to exploratory data analysis (continuous and categorical data, multivariate analysis, and advanced graphics with emphasis on aesthetics and facility). Following this, networks, geospatial data, image data, natural language processing and text analysis each have a dedicated chapter. Each chapter is grounded in examples to move readers beyond the intimidation of adding new tools to their research. Everything is hands-on: networks are explained using U.S. Supreme Court opinions, and low-level NLP methods are applied to short stories by Sir Arthur Conan Doyle. After working through these examples with the provided data, code and book website, readers are prepared to apply new methods to their own work. The open source R programming language, with its myriad packages and popularity within the sciences and social sciences, is particularly well-suited to working with humanities data. R packages are also highlighted in an appendix. This book uses an expanded conception of the forms data may take and the information it represents. The methodology will have wide application in classrooms and self-study for the humanities, but also for use in linguistics, anthropology, and political science. Outside the classroom, this intersection of humanities and computing is particularly relevant for research and new modes of dissemination across archives, museums and libraries. ​


Humanities Data Analysis

Author by : Folgert Karsdorp
Languange : en
Publisher by : Princeton University Press
Format Available : PDF, ePub, Mobi
Total Read : 61
Total Download : 167
File Size : 53,7 Mb
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Description : A practical guide to data-intensive humanities research using the Python programming language The use of quantitative methods in the humanities and related social sciences has increased considerably in recent years, allowing researchers to discover patterns in a vast range of source materials. Despite this growth, there are few resources addressed to students and scholars who wish to take advantage of these powerful tools. Humanities Data Analysis offers the first intermediate-level guide to quantitative data analysis for humanities students and scholars using the Python programming language. This practical textbook, which assumes a basic knowledge of Python, teaches readers the necessary skills for conducting humanities research in the rapidly developing digital environment. The book begins with an overview of the place of data science in the humanities, and proceeds to cover data carpentry: the essential techniques for gathering, cleaning, representing, and transforming textual and tabular data. Then, drawing from real-world, publicly available data sets that cover a variety of scholarly domains, the book delves into detailed case studies. Focusing on textual data analysis, the authors explore such diverse topics as network analysis, genre theory, onomastics, literacy, author attribution, mapping, stylometry, topic modeling, and time series analysis. Exercises and resources for further reading are provided at the end of each chapter. An ideal resource for humanities students and scholars aiming to take their Python skills to the next level, Humanities Data Analysis illustrates the benefits that quantitative methods can bring to complex research questions. Appropriate for advanced undergraduates, graduate students, and scholars with a basic knowledge of Python Applicable to many humanities disciplines, including history, literature, and sociology Offers real-world case studies using publicly available data sets Provides exercises at the end of each chapter for students to test acquired skills Emphasizes visual storytelling via data visualizations


Text Mining For Qualitative Data Analysis In The Social Sciences

Author by : Gregor Wiedemann
Languange : en
Publisher by : Springer
Format Available : PDF, ePub, Mobi
Total Read : 49
Total Download : 339
File Size : 43,6 Mb
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Description : Gregor Wiedemann evaluates text mining applications for social science studies with respect to conceptual integration of consciously selected methods, systematic optimization of algorithms and workflows, and methodological reflections relating to empirical research. In an exemplary study, he introduces workflows to analyze a corpus of around 600,000 newspaper articles on the subject of “democratic demarcation” in Germany. He provides a valuable resource for innovative measures to social scientists and computer scientists in the field of applied natural language processing.


Digital Humanities And Film Studies

Author by : Adelheid Heftberger
Languange : en
Publisher by : Springer
Format Available : PDF, ePub, Mobi
Total Read : 27
Total Download : 821
File Size : 55,7 Mb
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Description : This book highlights the quantitative methods of data mining and information visualization and explores their use in relation to the films and writings of the Russian director, Dziga Vertov. The theoretical basis of the work harkens back to the time when a group of Russian artists and scholars, known as the “formalists,” developed new concepts of how art could be studied and measured. This book brings those ideas to the digital age. One of the central questions the book intends to address is, “How can hypothetical notions in film studies be supported or falsified using empirical data and statistical tools?” The first stage involves manual and computer-assisted annotation of the films, leading to the production of empirical data which is then used for statistical analysis but more importantly for the development of visualizations. Studies of this type furthermore shed light on the field of visual presentation of time-based processes; an area which has its origin in the Russian formalist sphere of the 1920s and which has recently gained new relevance due to technological advances and new possibilities for computer-assisted analysis of large and complex data sets. In order to reach a profound understanding of Vertov and his films, the manual or computer-assisted data analysis must be combined with film-historical knowledge and a study of primary sources. In addition, the status of the surviving film materials and the precise analysis of these materials combined with knowledge of historical film technology provide insight into archival policy and political culture in the Soviet Union in the 1920s and 30s.


Tracing The Life Cycle Of Ideas In The Humanities And Social Sciences

Author by : Arjuna Tuzzi
Languange : en
Publisher by : Springer
Format Available : PDF, ePub, Mobi
Total Read : 99
Total Download : 447
File Size : 47,8 Mb
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Description : This book demonstrates how quantitative methods for text analysis can successfully combine with qualitative methods in the study of different disciplines of the Humanities and Social Sciences (HSS). The book focuses on learning about the evolution of ideas of HSS disciplines through a distant reading of the contents conveyed by scientific literature, in order to retrieve the most relevant topics being debated over time. Quantitative methods, statistical techniques and software packages are used to identify and study the main subject matters of a discipline from raw textual data, both in the past and today. The book also deals with the concept of quality of life of words and aims to foster a discussion about the life cycle of scientific ideas. Textual data retrieved from large corpora pose interesting challenges for any data analysis method and today represent a growing area of research in many fields. New problems emerge from the growing availability of large databases and new methods are needed to retrieve significant information from those large information sources. This book can be used to explain how quantitative methods can be part of the research instrumentation and the "toolbox" of scholars of Humanities and Social Sciences. The book contains numerous examples and a description of the main methods in use, with references to literature and available software. Most of the chapters of the book have been written in a non-technical language for HSS researchers without mathematical, computer or statistical backgrounds.


Big Data

Author by : Zongben Xu
Languange : en
Publisher by : Springer
Format Available : PDF, ePub, Mobi
Total Read : 69
Total Download : 367
File Size : 53,9 Mb
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Description : This volume constitutes the proceedings of the 6th CCF Conference, Big Data 2018, held in Xi'an, China, in October 2018. The 32 revised full papers presented in this volume were carefully reviewed and selected from 880 submissions. The papers are organized in topical sections on natural language processing and text mining; big data analytics and smart computing; big data applications; the application of big data in machine learning; social networks and recommendation systems; parallel computing and storage of big data; data quality control and data governance; big data system and management.


Advances In Intelligent Data Analysis Xvi

Author by : Niall Adams
Languange : en
Publisher by : Springer
Format Available : PDF, ePub, Mobi
Total Read : 58
Total Download : 860
File Size : 47,5 Mb
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Description : This book constitutes the conference proceedings of the 16th International Symposium on Intelligent Data Analysis, which was held in October 2017 in London, UK. The 28 full papers presented in this book were carefully reviewed and selected from 66 submissions. The traditional focus of the IDA symposium series is on end-to-end intelligent support for data analysis. IDA solicits papers on all aspects of intelligent data analysis, including papers on intelligent support for modelling and analyzing data from complex, dynamical systems.


Handbook Of Data Analysis

Author by : Melissa A Hardy
Languange : en
Publisher by : SAGE
Format Available : PDF, ePub, Mobi
Total Read : 39
Total Download : 664
File Size : 51,5 Mb
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Description : Electronic Inspection Copy available for instructors here 'This book provides an excellent reference guide to basic theoretical arguments, practical quantitative techniques and the methodologies that the majority of social science researchers are likely to require for postgraduate study and beyond' - Environment and Planning 'The book provides researchers with guidance in, and examples of, both quantitative and qualitative modes of analysis, written by leading practitioners in the field. The editors give a persuasive account of the commonalities of purpose that exist across both modes, as well as demonstrating a keen awareness of the different things that each offers the practising researcher' - Clive Seale, Brunel University 'With the appearance of this handbook, data analysts no longer have to consult dozens of disparate publications to carry out their work. The essential tools for an intelligent telling of the data story are offered here, in thirty chapters written by recognized experts. ' - Michael Lewis-Beck, F Wendell Miller Distinguished Professor of Political Science, University of Iowa 'This is an excellent guide to current issues in the analysis of social science data. I recommend it to anyone who is looking for authoritative introductions to the state of the art. Each chapter offers a comprehensive review and an extensive bibliography and will be invaluable to researchers wanting to update themselves about modern developments' - Professor Nigel Gilbert, Pro Vice-Chancellor and Professor of Sociology, University of Surrey This is a book that will rapidly be recognized as the bible for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars and students can turn to it for teaching and applied needs with confidence. The book also seeks to enhance debate in the field by tackling more advanced topics such as models of change, causality, panel models and network analysis. Specialists will find much food for thought in these chapters. A distinctive feature of the book is the breadth of coverage. No other book provides a better one-stop survey of the field of data analysis. In 30 specially commissioned chapters the editors aim to encourage readers to develop an appreciation of the range of analytic options available, so they can choose a research problem and then develop a suitable approach to data analysis.


Roberto Busa S J And The Emergence Of Humanities Computing

Author by : Steven E. Jones
Languange : en
Publisher by : Routledge
Format Available : PDF, ePub, Mobi
Total Read : 23
Total Download : 115
File Size : 44,5 Mb
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Description : It’s the founding myth of humanities computing and digital humanities: In 1949, the Italian Jesuit scholar, Roberto Busa, S.J., persuaded IBM to offer technical and financial support for the mechanized creation of a massive lemmatized concordance to the works of St. Thomas Aquinas. Using Busa’s own papers, recently accessioned in Milan, as well as IBM archives and other sources, Jones illuminates this DH origin story. He examines relationships between the layers of hardware, software, human agents, culture, and history, and answers the question of how specific technologies afford and even constrain cultural practices, including in this case the academic research agendas of humanities computing and, later, digital humanities.


The Shape Of Data In Digital Humanities

Author by : Julia Flanders
Languange : en
Publisher by : Routledge
Format Available : PDF, ePub, Mobi
Total Read : 77
Total Download : 849
File Size : 49,7 Mb
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Description : Data and its technologies now play a large and growing role in humanities research and teaching. This book addresses the needs of humanities scholars who seek deeper expertise in the area of data modeling and representation. The authors, all experts in digital humanities, offer a clear explanation of key technical principles, a grounded discussion of case studies, and an exploration of important theoretical concerns. The book opens with an orientation, giving the reader a history of data modeling in the humanities and a grounding in the technical concepts necessary to understand and engage with the second part of the book. The second part of the book is a wide-ranging exploration of topics central for a deeper understanding of data modeling in digital humanities. Chapters cover data modeling standards and the role they play in shaping digital humanities practice, traditional forms of modeling in the humanities and how they have been transformed by digital approaches, ontologies which seek to anchor meaning in digital humanities resources, and how data models inhabit the other analytical tools used in digital humanities research. It concludes with a glossary chapter that explains specific terms and concepts for data modeling in the digital humanities context. This book is a unique and invaluable resource for teaching and practising data modeling in a digital humanities context.


The Datafied Society

Author by : Mirko Tobias Schäfer
Languange : en
Publisher by : Amsterdam University Press
Format Available : PDF, ePub, Mobi
Total Read : 84
Total Download : 234
File Size : 43,9 Mb
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Description : As more and more aspects of everyday life are turned into machine-readable data, researchers are provided with rich resources for researching society. The novel methods and innovative tools to work with this data not only require new knowledge and skills, but also raise issues concerning the practices of investigation and publication. This book critically reflects on the role of data in academia and society and challenges overly optimistic expectations considering data practices as means for understanding social reality. It introduces its readers to the practices and methods for data analysis and visualization and raises questions not only about the politics of data tools, but also about the ethics in collecting, sifting through data, and presenting data research.


Digital Humanities And Research Methods In Religious Studies

Author by : Christopher D. Cantwell
Languange : en
Publisher by : Walter de Gruyter GmbH & Co KG
Format Available : PDF, ePub, Mobi
Total Read : 55
Total Download : 273
File Size : 47,6 Mb
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Description : This volume provides practical, but provocative, case studies of exemplary projects that apply digital technology or methods to the study of religion. An introduction and 16 essays are organized by the kinds of sources digital humanities scholars use – texts, images, and places – with a final section on the professional and pedagogical issues digital scholarship raises for the study of religion.


The Art Of Data Analysis Non Technical Skills For Data Analysts

Author by : Alberto Scappini
Languange : en
Publisher by : Alberto Scappini
Format Available : PDF, ePub, Mobi
Total Read : 35
Total Download : 281
File Size : 49,8 Mb
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Description : Would you like to greatly improve your data analysis capabilities by learning the most critical non-technical skills? Do you want to be more astute and well-rounded when applying your skills as a data analyst and achieve better results? If you answered “yes” to any of these questions, keep reading ….. There is an immense focus being placed on data analysis by businesses these days. It is indispensable and helps boil down decision-making to a science. This in turn lets organizations streamline their processes, increase their efficiency, and reduce their operating costs. For this reason, data analysts are in high demand. While technical skills are needed for the job, a salient focus is placed on what soft skills do the incumbent data analysts possess. A lot of data analysts do not adequately acquire these soft skills and therefore fail to realize their full potential. The most impactful work that a highly successful data analyst does comprises non-technical skills. Some crucial skills among these include being able to construct the problem, understand the business context, ask the right questions, find creative solutions, creating visualizations, and presenting the findings. This indispensable book will guide you through these absolutely necessary soft skills that you need in order to excel at your work as a valuable data analyst. Here’s a preview of this fantastic book, and what else you’ll learn: ● The critical contribution of non-technical skills in data analysis ● Using creativity to enable solving more complex problems quickly ● Understanding the business to address the specific needs of enterprises ● Thinking strategically to enhance the effectiveness and efficiency of your work ● Knowing how the human mind works to discover the abilities and limitations of various analytical models ● Using alternative techniques compared to statistical analysis such as qualitative data analysis, analytics, heuristics, etc., to gain a deeper perspective ● Acquiring negotiating skills to better deal with external and internal stakeholders ● Learning to better communicate your data analysis insights ● Being a better writer to be able to better express yourself ….. And much more! As a key bonus, included in this book are chapters that extensively elaborate on designing your findings by means of visualizations and public speaking in order to convincingly present your finding to a group of influential people and executives. The author understands your peculiar concerns and has therefore written this book in a clear and concise manner. The work is also thorough, relevant, and up-to-date. You are not required to be an experienced analyst to read this book. However, you do need to have a zeal for the subject and the passion for improving the outcome of your work. So, if you want to dramatically improve as a data analyst and aspire to reach the zenith of your field, click the “Add to Cart” button, and let’s get started!


Research Methods In Health Humanities

Author by : Craig M. Klugman
Languange : en
Publisher by : Oxford University Press
Format Available : PDF, ePub, Mobi
Total Read : 40
Total Download : 694
File Size : 49,6 Mb
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Description : Research Methods in Health Humanities surveys the diverse and unique research methods used by scholars in the growing, transdisciplinary field of health humanities. Appropriate for advanced undergraduates, but rich enough to engage more seasoned students and scholars, this volume is an essential teaching and reference tool for health humanities teachers and scholars. Health humanities is a field committed to social justice and to applying expertise to real world concerns, creating research that translates to participants and communities in meaningful and useful ways. The chapters in this field-defining volume reflect these values by examining the human aspects of health and health care that are critical, reflective, textual, contextual, qualitative, and quantitative. Divided into four sections, the volume demonstrates how to conduct research on texts, contexts, people, and programs. Readers will find research methods from traditional disciplines adapted to health humanities work, such as close reading of diverse texts, archival research, ethnography, interviews, and surveys. The book also features transdisciplinary methods unique to the health humanities, such as health and social justice studies, digital health humanities, and community dialogues. Each chapter provides learning objectives, step-by-step instructions, resources, and exercises, with illustrations of the method provided by the authors' own research. An invaluable tool in learning, curricular development, and research design, this volume provides a grounding in the traditions of the humanities, fine arts, and social sciences for students considering health care careers, but also provides useful tools of inquiry for everyone, as we are all future patients and future caregivers of a loved one.


Between Humanities And The Digital

Author by : Patrik Svensson
Languange : en
Publisher by : MIT Press
Format Available : PDF, ePub, Mobi
Total Read : 32
Total Download : 201
File Size : 52,6 Mb
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Description : Scholars from a range of disciplines offer an expansive vision of the intersections between new information technologies and the humanities.


Caa2014 21st Century Archaeology

Author by : F. Giligny
Languange : en
Publisher by : Archaeopress Publishing Ltd
Format Available : PDF, ePub, Mobi
Total Read : 73
Total Download : 279
File Size : 40,8 Mb
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Description : This volume brings together a selection of papers proposed for the Proceedings of the 42nd Computer Applications and Quantitative Methods in Archaeology conference (CAA), hosted at Paris 1 Pantheon-Sorbonne University from 22nd to 25th April 2014.


Ebook Quantitative Data Analysis Using Spss An Introduction For Health And Social Sciences

Author by : Pete Greasley
Languange : en
Publisher by : McGraw-Hill Education (UK)
Format Available : PDF, ePub, Mobi
Total Read : 17
Total Download : 333
File Size : 46,8 Mb
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Description : "This is an ideal introductory book for budding researchers who are embarking on the development and then analysis of data, and in this case, more specifically questionnaires using partly or exclusively closed questions amenable to statistical analysis." Primary Health Care Research and Development "The text is a welcome addition for nursing students at both undergraduate and postgraduate level research. Having reviewed the text I can only inform you how a student described a chapter in the book recently when she borrowed it. 'The language is clear and unambiguous'. I will be strongly encouraging students to either purchase the text ... with the purpose of giving them a foundation in statistics." William Evans, Institute of Technology Tralee, Ireland This accessible book is essential reading for those looking for a short and simple guide to basic data analysis. Written for the complete beginner, the book is the ideal companion when undertaking quantitative data analysis for the first time using SPSS. The book uses a simple example of quantitative data analysis that would be typical to the health field to take you through the process of data analysis step by step. The example used is a doctor who conducts a questionnaire survey of 30 patients to assess a specific service. The data from these questionnaires is given to you for analysis, and the book leads you through the process required to analyse this data. Handy screenshots illustrate each step of the process so you can try out the analysis for yourself, and apply it to your own research with ease. Topics covered include: Questionnaires and how to analyse them Coding the data for SPSS, setting up an SPSS database and entering the data Descriptive statistics and illustrating the data using graphs Cross-tabulation and the Chi-square statistic Correlation: examining relationships between interval data Examining differences between two sets of scores Reporting the results and presenting the data Quantitative Data Analysis Using SPSS is helpful for any students in health and social sciences with little or no experience of quantitative data analysis and statistics.


Quantitative Methods In The Humanities

Author by : Claire Lemercier
Languange : en
Publisher by : University of Virginia Press
Format Available : PDF, ePub, Mobi
Total Read : 43
Total Download : 816
File Size : 55,7 Mb
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Description : This timely and lucid guide is intended for students and scholars working on all historical periods and topics in the humanities and social sciences--especially for those who do not think of themselves as experts in quantification, "big data," or "digital humanities." The authors reveal quantification to be a powerful and versatile tool, applicable to a myriad of materials from the past. Their book, accessible to complete beginners, offers detailed advice and practical tips on how to build a dataset from historical sources and how to categorize it according to specific research questions. Drawing on examples from works in social, political, economic, and cultural history, the book guides readers through a wide range of methods, including sampling, cross-tabulations, statistical tests, regression, factor analysis, network analysis, sequence analysis, event history analysis, geographical information systems, text analysis, and visualization. The requirements, advantages, and pitfalls of these techniques are presented in layperson’s terms, avoiding mathematical terminology. Conceived primarily for historians, the book will prove invaluable to other humanists, as well as to social scientists looking for a nontechnical introduction to quantitative methods. Covering the most recent techniques, in addition to others not often enough discussed, the book will also have much to offer to the most seasoned practitioners of quantification.


Scientometrics For The Humanities And Social Sciences

Author by : R. Sooryamoorthy
Languange : en
Publisher by : Routledge
Format Available : PDF, ePub, Mobi
Total Read : 55
Total Download : 118
File Size : 51,5 Mb
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Description : Scientometrics for the Humanities and Social Sciences is the first ever book on scientometrics that deals with the historical development of both quantitative and qualitative data analysis in scientometric studies. It focuses on its applicability in new and emerging areas of inquiry. This important book presents the inherent potential for data mining and analysis of qualitative data in scientometrics. The author provides select cases of scientometric studies in the humanities and social sciences, explaining their research objectives, sources of data and methodologies. It illustrates how data can be gathered not only from prominent online databases and repositories, but also from journals that are not stored in these databases. With the support of specific examples, the book shows how data on demographic variables can be collected to supplement scientometric data. The book deals with a research methodology which has an increasing applicability not only to the study of science, but also to the study of the disciplines in the humanities and social sciences.


Big Data Analytics

Author by : Arun K. Somani
Languange : en
Publisher by : CRC Press
Format Available : PDF, ePub, Mobi
Total Read : 71
Total Download : 990
File Size : 50,9 Mb
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Description : The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers.


Research Methods For Reading Digital Data In The Digital Humanities

Author by : Gabriele Griffin
Languange : en
Publisher by : Edinburgh University Press
Format Available : PDF, ePub, Mobi
Total Read : 82
Total Download : 525
File Size : 44,6 Mb
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Description : The first volume to introduce the techniques and methods of reading digital material for researchDigital Humanities has become one of the new domains of academe at the interface of technological development, epistemological change, and methodological concerns. This volume explores how digital material might be read or utilized in research, whether that material is digitally born as fanfiction, for example, mostly is, or transposed from other sources. The volume asks questions such as what happens when text is transformed from printed into digital matter, and how that impacts on the methods we bring to bear on exploring that technologized matter, for example in the case of digital editions. Issues such as how to analyse visual material in digital archives or Twitter feeds, how to engage in data mining, what it means to undertake crowd-sourcing, big data, and what digital network analyses can tell us about online interactions are dealt with. This will give Humanities researchers ideas for doing digitally based research and also suggest ways of engaging with new digital research methods. Key featuresFirst volume centred on the navigation and interpretation of digital material as research methods in the HumanitiesUp-to-date analyses of issues and methods including big data, crowdsourcing, digital network analysis, working with digital additionsBased on actual research projects such as para-textual work with fanfiction, reading twitter, different kinds of distant and close readings


Handbook Of Empirical Literary Studies

Author by : Donald Kuiken
Languange : en
Publisher by : Walter de Gruyter GmbH & Co KG
Format Available : PDF, ePub, Mobi
Total Read : 23
Total Download : 749
File Size : 53,6 Mb
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Description : This handbook reviews efforts to increase the use of empirical methods in studies of the aesthetic and social effects of literary reading. The reviewed research is expansive, including extension of familiar theoretical models to novel domains (e.g., educational settings); enlarging empirical efforts within under-represented research areas (e.g., child development); and broadening the range of applicable quantitative and qualitative methods (e.g., computational stylistics; phenomenological methods). Especially challenging is articulation of the subtle aesthetic and social effects of literary artefacts (e.g., poetry, film). Increasingly, the complexity of these effects is addressed in multi-variate studies, including confirmatory factor analysis and structural equation modeling. While each chapter touches upon the historical background of a specific research topic, two chapters address the area’s historical background and guiding philosophical assumptions. Taken together, the material in this volume provides a systematic introduction to the area for early career professionals, while challenging active researchers to develop theoretical frameworks and empirical procedures that match the complexity of their research objectives.


Conceptual And Numerical Analysis Of Data

Author by : Gesellschaft für Klassifikation. Jahrestagung
Languange : en
Publisher by : Springer
Format Available : PDF, ePub, Mobi
Total Read : 48
Total Download : 730
File Size : 47,5 Mb
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Description : The wide ranged subject "Conceptual and Numerical Analysis of Data" is obliged to indicate the variety of the concept of data and information as well as the manifold methods of analysing and structuring. This volume is subdivided into four sections: 1) Data Analysis and Classification: Basic Concepts and Methods 2) Applications in Library Sciences, Documentation and Information Sciences 3) Applications in Economics and Social Sciences 4) Applications in Natural Sciences and Computer Sciences. Section 1 contains 18 papers concerning concept analysis, cluster analysis, data analysis and multivariate statistics. The broad spectrum of 7 papers appointed to section 2 extends from applications of data analysis and concepts in information sciences to applications in terminology and humanities. The importance of data analysis for many questions of economics and social sciences becomes evident in section 3. This section consists of 10 papers dealing with problems of marketing research, decision making, computer-based decision support as well as problems of socioeconomics and macroeconomics. Finally, section 4 is composed to 4 papers on sequence analysis and phylogenetic trees and 3 papers on computer science.


Big Data Analytics In Cognitive Social Media And Literary Texts

Author by : Sanjiv Sharma
Languange : en
Publisher by : Springer Nature
Format Available : PDF, ePub, Mobi
Total Read : 77
Total Download : 886
File Size : 54,9 Mb
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Description : This book provides a comprehensive overview of the theory and praxis of Big Data Analytics and how these are used to extract cognition-related information from social media and literary texts. It presents analytics that transcends the borders of discipline-specific academic research and focuses on knowledge extraction, prediction, and decision-making in the context of individual, social, and national development. The content is divided into three main sections: the first of which discusses various approaches associated with Big Data Analytics, while the second addresses the security and privacy of big data in social media, and the last focuses on the literary text as the literary data in Big Data Analytics. Sharing valuable insights into the etiology behind human cognition and its reflection in social media and literary texts, the book benefits all those interested in analytics that can be applied to literature, history, philosophy, linguistics, literary theory, media & communication studies and computational/digital humanities.


Advancing Digital Humanities

Author by : P. Arthur
Languange : en
Publisher by : Springer
Format Available : PDF, ePub, Mobi
Total Read : 66
Total Download : 611
File Size : 47,8 Mb
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Description : Advancing Digital Humanities moves beyond definition of this dynamic and fast growing field to show how its arguments, analyses, findings and theories are pioneering new directions in the humanities globally.