Text Analysis For The Social Sciences

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Text Analysis for the Social Sciences

Carl W. Roberts
Text Analysis for the Social Sciences Book PDF

Author : Carl W. Roberts
Publisher : Routledge
Page : 299 pages
File Size : 47,9 Mb
Release : 2020-07-24
Category : Language Arts & Disciplines
ISBN : 9781000149241

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Text Analysis for the Social Sciences by Carl W. Roberts Pdf

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.

Text Mining for Qualitative Data Analysis in the Social Sciences

Gregor Wiedemann
Text Mining for Qualitative Data Analysis in the Social Sciences Book PDF

Author : Gregor Wiedemann
Publisher : Springer
Page : 294 pages
File Size : 40,7 Mb
Release : 2016-08-23
Category : Social Science
ISBN : 9783658153090

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Text Mining for Qualitative Data Analysis in the Social Sciences by Gregor Wiedemann Pdf

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

Gabe Ignatow,Rada Mihalcea
Text Mining Book PDF

Author : Gabe Ignatow,Rada Mihalcea
Publisher : SAGE Publications
Page : 189 pages
File Size : 46,9 Mb
Release : 2016-04-20
Category : Social Science
ISBN : 9781483369327

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Text Mining by Gabe Ignatow,Rada Mihalcea Pdf

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.

Text Analysis with R

Matthew L. Jockers,Rosamond Thalken
Text Analysis with R Book PDF

Author : Matthew L. Jockers,Rosamond Thalken
Publisher : Springer Nature
Page : 277 pages
File Size : 53,7 Mb
Release : 2020-03-30
Category : Computers
ISBN : 9783030396435

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Text Analysis with R by Matthew L. Jockers,Rosamond Thalken Pdf

Now in its second edition, Text Analysis with R provides a practical introduction to computational text analysis using the open source programming language R. R is an extremely popular programming language, used throughout the sciences; due to its accessibility, R is now used increasingly in other research areas. In this volume, readers immediately begin working with text, and each chapter examines a new technique or process, allowing readers to obtain a broad exposure to core R procedures and a fundamental understanding of the possibilities of computational text analysis at both the micro and the macro scale. Each chapter builds on its predecessor as readers move from small scale “microanalysis” of single texts to large scale “macroanalysis” of text corpora, and each concludes with a set of practice exercises that reinforce and expand upon the chapter lessons. The book’s focus is on making the technical palatable and making the technical useful and immediately gratifying. Text Analysis with R is written with students and scholars of literature in mind but will be applicable to other humanists and social scientists wishing to extend their methodological toolkit to include quantitative and computational approaches to the study of text. Computation provides access to information in text that readers simply cannot gather using traditional qualitative methods of close reading and human synthesis. This new edition features two new chapters: one that introduces dplyr and tidyr in the context of parsing and analyzing dramatic texts to extract speaker and receiver data, and one on sentiment analysis using the syuzhet package. It is also filled with updated material in every chapter to integrate new developments in the field, current practices in R style, and the use of more efficient algorithms.

Text as Data

Justin Grimmer,Margaret E. Roberts,Brandon M. Stewart
Text as Data Book PDF

Author : Justin Grimmer,Margaret E. Roberts,Brandon M. Stewart
Publisher : Princeton University Press
Page : 360 pages
File Size : 54,9 Mb
Release : 2022-03-29
Category : Computers
ISBN : 9780691207551

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Text as Data by Justin Grimmer,Margaret E. Roberts,Brandon M. Stewart Pdf

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

Analyzing Text and Discourse

Kristina Boréus,Göran Bergström
Analyzing Text and Discourse Book PDF

Author : Kristina Boréus,Göran Bergström
Publisher : SAGE
Page : 305 pages
File Size : 53,8 Mb
Release : 2017-02-16
Category : Language Arts & Disciplines
ISBN : 9781473965676

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Analyzing Text and Discourse by Kristina Boréus,Göran Bergström Pdf

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.

Quantitative Social Science

Kosuke Imai,Lori D. Bougher
Quantitative Social Science Book PDF

Author : Kosuke Imai,Lori D. Bougher
Publisher : Princeton University Press
Page : 464 pages
File Size : 48,8 Mb
Release : 2021-03-16
Category : Political Science
ISBN : 9780691191096

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Quantitative Social Science by Kosuke Imai,Lori D. Bougher Pdf

"Princeton University Press published Imai's textbook, Quantitative Social Science: An Introduction, an introduction to quantitative methods and data science for upper level undergrads and graduates in professional programs, in February 2017. What is distinct about the book is how it leads students through a series of applied examples of statistical methods, drawing on real examples from social science research. The original book was prepared with the statistical software R, which is freely available online and has gained in popularity in recent years. But many existing courses in statistics and data sciences, particularly in some subject areas like sociology and law, use STATA, another general purpose package that has been the market leader since the 1980s. We've had several requests for STATA versions of the text as many programs use it by default. This is a "translation" of the original text, keeping all the current pedagogical text but inserting the necessary code and outputs from STATA in their place"--

Data Analysis for Social Science

Elena Llaudet,Kosuke Imai
Data Analysis for Social Science Book PDF

Author : Elena Llaudet,Kosuke Imai
Publisher : Princeton University Press
Page : 256 pages
File Size : 43,8 Mb
Release : 2022-11-29
Category : Computers
ISBN : 9780691199436

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Data Analysis for Social Science by Elena Llaudet,Kosuke Imai Pdf

"Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"--

Qualitative Text Analysis

Udo Kuckartz
Qualitative Text Analysis Book PDF

Author : Udo Kuckartz
Publisher : SAGE
Page : 193 pages
File Size : 49,5 Mb
Release : 2014-01-23
Category : Reference
ISBN : 9781446297766

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Qualitative Text Analysis by Udo Kuckartz Pdf

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.

An Introduction to Text Mining

Gabe Ignatow,Rada Mihalcea
An Introduction to Text Mining Book PDF

Author : Gabe Ignatow,Rada Mihalcea
Publisher : SAGE Publications
Page : 344 pages
File Size : 52,9 Mb
Release : 2017-09-22
Category : Social Science
ISBN : 9781506337029

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An Introduction to Text Mining by Gabe Ignatow,Rada Mihalcea Pdf

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.

Data Analytics for the Social Sciences

G. David Garson
Data Analytics for the Social Sciences Book PDF

Author : G. David Garson
Publisher : Routledge
Page : 704 pages
File Size : 43,6 Mb
Release : 2021-11-30
Category : Psychology
ISBN : 9781000467086

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Data Analytics for the Social Sciences by G. David Garson Pdf

Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data analytics for social science. It features applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter on the uses and potential abuses of data analytics. Chapters 2 and 3 show how to implement a broad range of statistical procedures in R. Chapters 4 and 5 deal with regression and classification trees and with random forests. Chapter 6 deals with machine learning models and the "caret" package, which makes available to the researcher hundreds of models. Chapter 7 deals with neural network analysis, and Chapter 8 deals with network analysis and visualization of network data. A final chapter treats text analysis, including web scraping, comparative word frequency tables, word clouds, word maps, sentiment analysis, topic analysis, and more. All empirical chapters have two "Quick Start" exercises designed to allow quick immersion in chapter topics, followed by "In Depth" coverage. Data are available for all examples and runnable R code is provided in a "Command Summary". An appendix provides an extended tutorial on R and RStudio. Almost 30 online supplements provide information for the complete book, "books within the book" on a variety of topics, such as agent-based modeling. Rather than focusing on equations, derivations, and proofs, this book emphasizes hands-on obtaining of output for various social science models and how to interpret the output. It is suitable for all advanced level undergraduate and graduate students learning statistical data analysis.

Mapping Texts

Dustin S. Stoltz,Marshall A. Taylor
Mapping Texts Book PDF

Author : Dustin S. Stoltz,Marshall A. Taylor
Publisher : Oxford University Press
Page : 326 pages
File Size : 55,8 Mb
Release : 2024-02-15
Category : Qualitative research
ISBN : 9780197756881

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Mapping Texts by Dustin S. Stoltz,Marshall A. Taylor Pdf

Mapping Texts is the first introduction to computational text analysis that simultaneously blends conceptual treatments with practical, hands-on examples that walk the reader through how to conduct text analysis projects with real data. The book shows how to conduct text analysis in the R statistical computing environment--a popular programming language in data science.

Text Analysis in Python for Social Scientists

Dirk Hovy
Text Analysis in Python for Social Scientists Book PDF

Author : Dirk Hovy
Publisher : Cambridge University Press
Page : 102 pages
File Size : 40,9 Mb
Release : 2022-03-17
Category : Political Science
ISBN : 9781108963091

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Text Analysis in Python for Social Scientists by Dirk Hovy Pdf

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.

Text Mining with R

Julia Silge,David Robinson
Text Mining with R Book PDF

Author : Julia Silge,David Robinson
Publisher : "O'Reilly Media, Inc."
Page : 193 pages
File Size : 47,7 Mb
Release : 2017-06-12
Category : Computers
ISBN : 9781491981627

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Text Mining with R by Julia Silge,David Robinson Pdf

Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Favorites and Retweets; Summary; Chapter 8. Case Study : Mining NASA Metadata; How Data Is Organized at NASA; Wrangling and Tidying the Data; Some Initial Simple Exploration; Word Co-ocurrences and Correlations; Networks of Description and Title Words; Networks of Keywords; Calculating tf-idf for the Description Fields; What Is tf-idf for the Description Field Words?; Connecting Description Fields to Keywords; Topic Modeling.

Textual Analysis

Alan McKee
Textual Analysis Book PDF

Author : Alan McKee
Publisher : SAGE
Page : 180 pages
File Size : 41,9 Mb
Release : 2003-04-03
Category : Social Science
ISBN : 0761949933

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Textual Analysis by Alan McKee Pdf

Textual analysis is a methodology - a way of gathering data - for researchers who are interested in the ways in which people make sense of the world.