Text Mining for Qualitative Data Analysis in the Social Sciences

Text Mining for Qualitative Data Analysis in the Social Sciences

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  • Author: Gregor Wiedemann
  • Publisher: Springer
  • ISBN: 3658153091
  • Category : Social Science
  • Languages : en
  • Pages : 294

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.


Text Mining

Text Mining

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  • Author: Gabe Ignatow
  • Publisher: SAGE Publications
  • ISBN: 1483369323
  • Category : Social Science
  • Languages : en
  • Pages : 189

Online communities generate massive volumes of natural language data and the social sciences continue to learn how to best make use of this new information and the technology available for analyzing it. Text Mining brings together a broad range of contemporary qualitative and quantitative methods to provide strategic and practical guidance on analyzing large text collections. This accessible book, written by a sociologist and a computer scientist, surveys the fast-changing landscape of data sources, programming languages, software packages, and methods of analysis available today. Suitable for novice and experienced researchers alike, the book will help readers use text mining techniques more efficiently and productively.


Qualitative Data Analysis

Qualitative Data Analysis

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  • Author: Ian Dey
  • Publisher: Routledge
  • ISBN: 1134931468
  • Category : Psychology
  • Languages : en
  • Pages : 309

Qualitative Data Analysis shows that learning how to analyse qualitative data by computer can be fun. Written in a stimulating style, with examples drawn mainly from every day life and contemporary humour, it should appeal to a wide audience.


An Introduction to Text Mining

An Introduction to Text Mining

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  • Author: Gabe Ignatow
  • Publisher: SAGE Publications
  • ISBN: 1506337023
  • Category : Social Science
  • Languages : en
  • Pages : 344

This is the ideal introduction for students seeking to collect and analyze textual data from online sources. It covers the most critical issues that they must take into consideration at all stages of their research projects.


Qualitative Text Analysis

Qualitative Text Analysis

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  • Author: Udo Kuckartz
  • Publisher: SAGE
  • ISBN: 1446297764
  • Category : Reference
  • Languages : en
  • Pages : 192

How can you analyse narratives, interviews, field notes, or focus group data? Qualitative text analysis is ideal for these types of data and this textbook provides a hands-on introduction to the method and its theoretical underpinnings. It offers step-by-step instructions for implementing the three principal types of qualitative text analysis: thematic, evaluative, and type-building. Special attention is paid to how to present your results and use qualitative data analysis software packages, which are highly recommended for use in combination with qualitative text analysis since they allow for fast, reliable, and more accurate analysis. The book shows in detail how to use software, from transcribing the verbal data to presenting and visualizing the results. The book is intended for Master’s and Doctoral students across the social sciences and for all researchers concerned with the systematic analysis of texts of any kind.


Digital Social Research

Digital Social Research

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  • Author: Giuseppe A. Veltri
  • Publisher: John Wiley & Sons
  • ISBN: 1509529330
  • Category : Social Science
  • Languages : en
  • Pages : 210

To analyse social and behavioural phenomena in our digitalized world, it is necessary to understand the main research opportunities and challenges specific to online and digital data. This book presents an overview of the many techniques that are part of the fundamental toolbox of the digital social scientist. Placing online methods within the wider tradition of social research, Giuseppe Veltri discusses the principles and frameworks that underlie each technique of digital research. This practical guide covers methodological issues such as dealing with different types of digital data, construct validity, representativeness and big data sampling. It looks at different forms of unobtrusive data collection methods (such as web scraping and social media mining) as well as obtrusive methods (including qualitative methods, web surveys and experiments). Special extended attention is given to computational approaches to statistical analysis, text mining and network analysis. Digital Social Research will be a welcome resource for students and researchers across the social sciences and humanities carrying out digital research (or interested in the future of social research).


Pathways Between Social Science and Computational Social Science

Pathways Between Social Science and Computational Social Science

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  • Author: Tamás Rudas
  • Publisher: Springer Nature
  • ISBN: 3030549364
  • Category : Social Science
  • Languages : en
  • Pages : 284

This volume shows that the emergence of computational social science (CSS) is an endogenous response to problems from within the social sciences and not exogeneous. The three parts of the volume address various pathways along which CSS has been developing from and interacting with existing research frameworks. The first part exemplifies how new theoretical models and approaches on which CSS research is based arise from theories of social science. The second part is about methodological advances facilitated by CSS-related techniques. The third part illustrates the contribution of CSS to traditional social science topics, further attesting to the embedded nature of CSS. The expected readership of the volume includes researchers with a traditional social science background who wish to approach CSS, experts in CSS looking for substantive links to more traditional social science theories, methods and topics, and finally, students working in both fields.


Text Analysis for the Social Sciences

Text Analysis for the Social Sciences

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  • Author: Carl W. Roberts
  • Publisher: Routledge
  • ISBN: 1000149242
  • Category : Language Arts & Disciplines
  • Languages : en
  • Pages : 299

This book provides descriptions and illustrations of cutting-edge text analysis methods for communication and marketing research; cultural, historical-comparative, and event analysis; curriculum evaluation; psychological diagnosis; language development research; and for any research in which statistical inferences are drawn from samples of texts. Although the book is accessible to readers having no experience with content analysis, the text analysis expert will find substantial new material in its pages. In particular, this collection describes developments in semantic and network text analysis methodologies that heretofore have been accessible only among a smattering of methodology journals. The book's international and cross-disciplinary content illustrates the breadth of quantitative text analysis applications. These applications demonstrate the methods' utility for international research, as well as for practitioners from the fields of sociology, political science, journalism/communication, computer science, marketing, education, and English. This is an "ecumenical" collection that contains applications not only of the most recent semantic and network text analysis methods, but also of the more traditional thematic method of text analysis. In fact, it is originally with this volume that these two "relational" approaches to text analysis are defined and contrasted with more traditional "thematic" text analysis methods. The emphasis here is on application. The book's chapters provide guidance regarding the sorts of inferences that each method affords, and up-to-date descriptions of the human and technological resources required to apply the methods. Its purpose is as a resource for making quantitative text analysis methods more accessible to social science researchers.


Secondary Qualitative Data Analysis in the Health and Social Sciences

Secondary Qualitative Data Analysis in the Health and Social Sciences

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  • Author: Cheryl Tatano Beck
  • Publisher: Routledge
  • ISBN: 1351581058
  • Category : Medical
  • Languages : en
  • Pages : 126

Despite a long history in quantitative research, it is only recently that enthusiasm for secondary analysis of qualitative data has gained momentum across health and social science disciplines. Given that researchers have long known the inordinate amount of time and energy invested in conducting qualitative research, the appeal of secondary analysis of qualitative data is clear. Involving the use of an existing dataset to answer research questions that are different from those asked in the original study, this method allows researchers to once again make use of their hard-earned qualitative dataset and to listen to their participants’ voices to the best of their ability in order to improve care and promote understanding. As secondary qualitative data analysis continues to evolve, more methodological guidance is needed. This book outlines three approaches to secondary data analysis and addresses the key issues that researchers need to wrestle with, such as ethical considerations, voice, and representation. Intellectual and interpretive hazards that can jeopardize the outcome of these analyses are highlighted and discussed, as are the criteria for assessing their quality and trustworthiness. Written as a thought-provoking guide for qualitative researchers from across the health and social sciences, this text includes a review of the state of the science in nursing and a number of in-depth illustrative case studies.


Qualitative Analysis

Qualitative Analysis

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  • Author: Margaretha Järvinen
  • Publisher: SAGE
  • ISBN: 1529713242
  • Category : Social Science
  • Languages : en
  • Pages : 411

Introducing eight analytical approaches that are key to successful social science research, this book helps you get to grips with theory and apply it to qualitative analysis. With two ‘matched chapters’ dedicated to each approach, it provides a balance between theory and analytical method. The first chapter grounds the approach in theory and the second uses real-world examples to show how to conduct your own analysis using the approach. Drawing on the contributing authors’ wealth of experience, the book: · Highlights how analysis relates to the entire research process and helps you position your analysis within the larger context of your research · Provides a strong, theoretical foundation for building good qualitative analysis · Guides you through translating theory into real-world practice in your own research Detailed, clear and accessible, this book is perfect for students who want to understand the theory behind qualitative analysis before conducting their own research, or develop their understanding of specific approaches.