Text Analysis For The Social Sciences
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Author : Carl W. Roberts
Publisher : Routledge
Release Date : 2020-07-24
ISBN 13: 1000149242
Total Pages : 299 pages
Rating : 4.0/5 (1 users)
Read and Download Carl W. Roberts book Text Analysis for the Social Sciences in PDF, EPub, Mobi, Kindle online. Free book TText Analysis for the Social Sciences. This book was released on 2020-07-24 with total page 299 pages. Book excerpt: 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.
Author : Gregor Wiedemann
Publisher : Springer
Release Date : 2016-08-23
ISBN 13: 3658153091
Total Pages : 294 pages
Rating : 4.6/5 (581 users)
Read and Download Gregor Wiedemann book Text Mining for Qualitative Data Analysis in the Social Sciences in PDF, EPub, Mobi, Kindle online. Free book TText Mining for Qualitative Data Analysis in the Social Sciences. This book was released on 2016-08-23 with total page 294 pages. Book excerpt: 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.
Author : Dirk Hovy
Publisher : Cambridge University Press
Release Date : 2022-03-31
ISBN 13: 1108963099
Total Pages : pages
Rating : 4.1/5 (89 users)
Read and Download Dirk Hovy book Text Analysis in Python for Social Scientists in PDF, EPub, Mobi, Kindle online. Free book TText Analysis in Python for Social Scientists. This book was released on 2022-03-31 with total page pages. Book excerpt: Text contains a wealth of information about about a wide variety of sociocultural constructs. Automated prediction methods can infer these quantities (sentiment analysis is probably the most well-known application). However, there is virtually no limit to the kinds of things we can predict from text: power, trust, misogyny, are all signaled in language. These algorithms easily scale to corpus sizes infeasible for manual analysis. Prediction algorithms have become steadily more powerful, especially with the advent of neural network methods. However, applying these techniques usually requires profound programming knowledge and machine learning expertise. As a result, many social scientists do not apply them. This Element provides the working social scientist with an overview of the most common methods for text classification, an intuition of their applicability, and Python code to execute them. It covers both the ethical foundations of such work as well as the emerging potential of neural network methods.
Author : Justin Grimmer
Publisher : Princeton University Press
Release Date : 2022-03-29
ISBN 13: 0691207550
Total Pages : 360 pages
Rating : 4.6/5 (912 users)
Read and Download Justin Grimmer book Text as Data in PDF, EPub, Mobi, Kindle online. Free book TText as Data. This book was released on 2022-03-29 with total page 360 pages. Book excerpt: A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry
Author : Kristina Boréus
Publisher : SAGE
Release Date : 2017-02-16
ISBN 13: 1473965675
Total Pages : 305 pages
Rating : 4.4/5 (739 users)
Read and Download Kristina Boréus book Analyzing Text and Discourse in PDF, EPub, Mobi, Kindle online. Free book TAnalyzing Text and Discourse. This book was released on 2017-02-16 with total page 305 pages. Book excerpt: Clearly setting out the advantages and disadvantages of each methodology, and providing real-world examples of when the methodology has been used successfully, this introduction makes it easy for students to assess which approach would be best for their research and to implement it successfully.
Author : Gabe Ignatow
Publisher : SAGE Publications
Release Date : 2016-04-20
ISBN 13: 1483369358
Total Pages : 209 pages
Rating : 4.4/5 (833 users)
Read and Download Gabe Ignatow book Text Mining in PDF, EPub, Mobi, Kindle online. Free book TText Mining. This book was released on 2016-04-20 with total page 209 pages. Book excerpt: 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: A Guidebook for the Social Sciences 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 sociologist Gabe Ignatow and computer scientist Rada Mihalcea, 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.
Author : Roel Popping
Publisher : SAGE
Release Date : 2000-02-28
ISBN 13: 0761953795
Total Pages : 242 pages
Rating : 4.7/5 (619 users)
Read and Download Roel Popping book Computer-Assisted Text Analysis in PDF, EPub, Mobi, Kindle online. Free book TComputer-Assisted Text Analysis. This book was released on 2000-02-28 with total page 242 pages. Book excerpt: Providing an up-to-date picture of the main methods for the quantitative analysis of text, this book begins by overviewing the background and the conceptual foundations of the field. The author then covers the traditional thematic approaches of text analysis, followed by an explanation of newer developments in semantic and network text analysis methodologies. Finally, he examines the relationship between content analysis and other kinds of text analysis - from qualitative research, linguistic analysis and information retrieval. Computer-assisted Text Analysis focuses on the methodological and practical issues of coding and handling data, including sampling, reliability and validity issues, and includes a useful appendix of computer programs for text analysis.
Author : Jonathan Michie
Publisher : Routledge
Release Date : 2014-02-03
ISBN 13: 1135932263
Total Pages : 2165 pages
Rating : 4.1/5 (359 users)
Read and Download Jonathan Michie book Reader's Guide to the Social Sciences in PDF, EPub, Mobi, Kindle online. Free book TReader's Guide to the Social Sciences. This book was released on 2014-02-03 with total page 2165 pages. Book excerpt: This 2-volume work includes approximately 1,200 entries in A-Z order, critically reviewing the literature on specific topics from abortion to world systems theory. In addition, nine major entries cover each of the major disciplines (political economy; management and business; human geography; politics; sociology; law; psychology; organizational behavior) and the history and development of the social sciences in a broader sense.
Author : Gabe Ignatow
Publisher : SAGE Publications
Release Date : 2017-09-22
ISBN 13: 1506337023
Total Pages : 344 pages
Rating : 4.5/5 (63 users)
Read and Download Gabe Ignatow book An Introduction to Text Mining in PDF, EPub, Mobi, Kindle online. Free book TAn Introduction to Text Mining. This book was released on 2017-09-22 with total page 344 pages. Book excerpt: 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.
Author : Orville Vernon Burton
Publisher : University of Illinois Press
Release Date : 2002
ISBN 13: 9780252026850
Total Pages : 220 pages
Rating : 4.0/5 (268 users)
Read and Download Orville Vernon Burton book Computing in the Social Sciences and Humanities in PDF, EPub, Mobi, Kindle online. Free book TComputing in the Social Sciences and Humanities. This book was released on 2002 with total page 220 pages. Book excerpt: CD-ROm contains: Multimedia that provides unique approach to various disciplines in the social sciences and humanities -- Links to related resources.
Author : John McLevey
Publisher : SAGE
Release Date : 2021-12-15
ISBN 13: 1529737591
Total Pages : 556 pages
Rating : 4.5/5 (297 users)
Read and Download John McLevey book Doing Computational Social Science in PDF, EPub, Mobi, Kindle online. Free book TDoing Computational Social Science. This book was released on 2021-12-15 with total page 556 pages. Book excerpt: Computational approaches offer exciting opportunities for us to do social science differently. This beginner’s guide discusses a range of computational methods and how to use them to study the problems and questions you want to research. It assumes no knowledge of programming, offering step-by-step guidance for coding in Python and drawing on examples of real data analysis to demonstrate how you can apply each approach in any discipline. The book also: Considers important principles of social scientific computing, including transparency, accountability and reproducibility. Understands the realities of completing research projects and offers advice for dealing with issues such as messy or incomplete data and systematic biases. Empowers you to learn at your own pace, with online resources including screencast tutorials and datasets that enable you to practice your skills and get up to speed. For anyone who wants to use computational methods to conduct a social science research project, this book equips you with the skills, good habits and best working practices to do rigorous, high quality work.
Author : Miltiadis D. Lytras
Publisher : MDPI
Release Date : 2020-03-19
ISBN 13: 3039282204
Total Pages : 416 pages
Rating : 4.0/5 (392 users)
Read and Download Miltiadis D. Lytras book Big Data Research for Social Sciences and Social Impact in PDF, EPub, Mobi, Kindle online. Free book TBig Data Research for Social Sciences and Social Impact. This book was released on 2020-03-19 with total page 416 pages. Book excerpt: A new era of innovation is enabled by the integration of social sciences and information systems research. In this context, the adoption of Big Data and analytics technology brings new insight to the social sciences. It also delivers new, flexible responses to crucial social problems and challenges. We are proud to deliver this edited volume on the social impact of big data research. It is one of the first initiatives worldwide analyzing of the impact of this kind of research on individuals and social issues. The organization of the relevant debate is arranged around three pillars: Section A: Big Data Research for Social Impact: • Big Data and Their Social Impact; • (Smart) Citizens from Data Providers to Decision-Makers; • Towards Sustainable Development of Online Communities; • Sentiment from Online Social Networks; • Big Data for Innovation. Section B. Techniques and Methods for Big Data driven research for Social Sciences and Social Impact: • Opinion Mining on Social Media; • Sentiment Analysis of User Preferences; • Sustainable Urban Communities; • Gender Based Check-In Behavior by Using Social Media Big Data; • Web Data-Mining Techniques; • Semantic Network Analysis of Legacy News Media Perception. Section C. Big Data Research Strategies: • Skill Needs for Early Career Researchers—A Text Mining Approach; • Pattern Recognition through Bibliometric Analysis; • Assessing an Organization’s Readiness to Adopt Big Data; • Machine Learning for Predicting Performance; • Analyzing Online Reviews Using Text Mining; • Context–Problem Network and Quantitative Method of Patent Analysis. Complementary social and technological factors including: • Big Social Networks on Sustainable Economic Development; Business Intelligence.
Author : Ismael Vaccaro
Publisher : Cambridge University Press
Release Date : 2010-11-11
ISBN 13: 1139491725
Total Pages : pages
Rating : 4.1/5 (394 users)
Read and Download Ismael Vaccaro book Environmental Social Sciences in PDF, EPub, Mobi, Kindle online. Free book TEnvironmental Social Sciences. This book was released on 2010-11-11 with total page pages. Book excerpt: The relationship between human communities and the environment is extremely complex. In order to resolve the issues involved with this relationship, interdisciplinary research combining natural sciences, social sciences, and humanities is necessary. In this 2010 book, specialists summarise methods and research strategies for various aspects of social research devoted to environmental issues. Each chapter is illustrated with ethnographic and environmental examples, ranging from Australia to Amazonia, from Madagascar to the United States, and from prehistoric and historic cases to contemporary rural and urban ones. It deals with climate change, deforestation, environmental knowledge, natural reserves, politics and ownership of natural resources, and the effect of differing spatial and temporal scales. Contributing to the intellectual project of interdisciplinary environmental social science, this book shows the possibilities social science can provide to environmental studies and to larger global problems and thus will be of equal interest to social and natural scientists and policy makers.
Author : Gabe Ignatow
Publisher :
Release Date : 2016
ISBN 13: 9781544365312
Total Pages : 208 pages
Rating : 4.3/5 (653 users)
Read and Download Gabe Ignatow book Text Mining in PDF, EPub, Mobi, Kindle online. Free book TText Mining. This book was released on 2016 with total page 208 pages. Book excerpt:
Author : Nils B. Weidmann
Publisher : Cambridge University Press
Release Date : 2023-03-09
ISBN 13: 1108845673
Total Pages : 243 pages
Rating : 4.1/5 (88 users)
Read and Download Nils B. Weidmann book Data Management for Social Scientists in PDF, EPub, Mobi, Kindle online. Free book TData Management for Social Scientists. This book was released on 2023-03-09 with total page 243 pages. Book excerpt: Equips social scientists with the tools and techniques to conduct quantitative research in the age of big data.
Author : H. Russell Bernard
Publisher : SAGE
Release Date : 2010
ISBN 13: 0761924906
Total Pages : 481 pages
Rating : 4.7/5 (619 users)
Read and Download H. Russell Bernard book Analyzing Qualitative Data in PDF, EPub, Mobi, Kindle online. Free book TAnalyzing Qualitative Data. This book was released on 2010 with total page 481 pages. Book excerpt: Through the use of real-life social science examples, this book walks upper-division undergraduate to graduate students through the steps of collecting and analyzing qualitative data. Rather than cover data collection in separate chapters isolated from analysis techniques, the authors pair each data collection technique with the appropriate analytic method. The authors first cover word-based techniques (such as KWIC, word counts, componential analysis, taxonomies, mental maps, and semantic networks.) They next cover discovery techniques (grounded theory, schema analysis, sequential analysis, and analytic induction) followed by confirmatory techniques (tables and matrices, classic content analysis, content dictionaries, and ethnographic decision modeling.) In the last section of the book, the authors tackle philosophical issues related to sampling, reliability and validity as well as how to select the appropriate software. Carefully crafted exercises will provide readers with experiences for practicing the concepts in each chapter. This book will provide readers with not only the most complete information on doing qualitative collection and analysis, but a guide to selecting among the complete variety of qualitative techniques.
Author : Roger Lee
Publisher : Springer Nature
Release Date : 2023-03-12
ISBN 13: 3031196082
Total Pages : 190 pages
Rating : 4.0/5 (311 users)
Read and Download Roger Lee book Big Data, Cloud Computing, and Data Science Engineering in PDF, EPub, Mobi, Kindle online. Free book TBig Data, Cloud Computing, and Data Science Engineering. This book was released on 2023-03-12 with total page 190 pages. Book excerpt: This book presents scientific results of the 7th IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2021) which was held on August 4-6, 2022 in Danang, Vietnam. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. All aspects (theory, applications, and tools) of computer and information science, the practical challenges encountered along the way, and the solutions adopted to solve them are all explored here in the results of the articles featured in this book. The conference organizers selected the best papers from those papers accepted for presentation at the conference. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 15 of the conference’s most promising papers are then published in this Springer (SCI) book and not the conference proceedings. We impatiently await the important contributions that we know these authors will bring to the field of computer and information science.