Text Analysis With R For Students Of Literature

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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 : 45,7 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 Analysis with R

Matthew Lee Jockers
Text Analysis with R Book PDF

Author : Matthew Lee Jockers
Publisher : Unknown
Page : 283 pages
File Size : 55,8 Mb
Release : 2020
Category : Computational linguistics
ISBN : 3030396444

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Text Analysis with R by Matthew Lee Jockers Pdf

This practical introduction explores core R procedures and processes and offers a thorough understanding of the possibilities of computational text analysis at both micro and macro scales. Each chapter concludes with a set of practice exercises.

Text Analysis with R for Students of Literature

Matthew Jockers
Text Analysis with R for Students of Literature Book PDF

Author : Matthew Jockers
Publisher : Springer
Page : 194 pages
File Size : 53,6 Mb
Release : 2014-06-14
Category : Computers
ISBN : 3319031651

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Text Analysis with R for Students of Literature by Matthew Jockers Pdf

Text Analysis with R for Students of Literature 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 tool kit to include quantitative and computational approaches to the study of text. Computation provides access to information in text that we simply cannot gather using traditional qualitative methods of close reading and human synthesis. Text Analysis with R for Students of Literature provides a practical introduction to computational text analysis using the open source programming language R. R is extremely popular throughout the sciences and because of its accessibility, R is now used increasingly in other research areas. Readers begin working with text right away and each chapter works through a new technique or process such that readers gain a broad exposure to core R procedures and a basic understanding of the possibilities of computational text analysis at both the micro and macro scale. Each chapter builds on the previous as readers move from small scale “microanalysis” of single texts to large scale “macroanalysis” of text corpora, and each chapter 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 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 : 43,8 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.

Text Analysis with R for Students of Literature

Matthew L. Jockers
Text Analysis with R for Students of Literature Book PDF

Author : Matthew L. Jockers
Publisher : Springer
Page : 199 pages
File Size : 49,6 Mb
Release : 2014-06-10
Category : Computers
ISBN : 9783319031644

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Text Analysis with R for Students of Literature by Matthew L. Jockers Pdf

Text Analysis with R for Students of Literature 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 tool kit to include quantitative and computational approaches to the study of text. Computation provides access to information in text that we simply cannot gather using traditional qualitative methods of close reading and human synthesis. Text Analysis with R for Students of Literature provides a practical introduction to computational text analysis using the open source programming language R. R is extremely popular throughout the sciences and because of its accessibility, R is now used increasingly in other research areas. Readers begin working with text right away and each chapter works through a new technique or process such that readers gain a broad exposure to core R procedures and a basic understanding of the possibilities of computational text analysis at both the micro and macro scale. Each chapter builds on the previous as readers move from small scale “microanalysis” of single texts to large scale “macroanalysis” of text corpora, and each chapter 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.

Supervised Machine Learning for Text Analysis in R

Emil Hvitfeldt,Julia Silge
Supervised Machine Learning for Text Analysis in R Book PDF

Author : Emil Hvitfeldt,Julia Silge
Publisher : CRC Press
Page : 402 pages
File Size : 46,5 Mb
Release : 2021-10-22
Category : Computers
ISBN : 9781000461978

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Supervised Machine Learning for Text Analysis in R by Emil Hvitfeldt,Julia Silge Pdf

Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language. Supervised Machine Learning for Text Analysis in R explains how to preprocess text data for modeling, train models, and evaluate model performance using tools from the tidyverse and tidymodels ecosystem. Models like these can be used to make predictions for new observations, to understand what natural language features or characteristics contribute to differences in the output, and more. If you are already familiar with the basics of predictive modeling, use the comprehensive, detailed examples in this book to extend your skills to the domain of natural language processing. This book provides practical guidance and directly applicable knowledge for data scientists and analysts who want to integrate unstructured text data into their modeling pipelines. Learn how to use text data for both regression and classification tasks, and how to apply more straightforward algorithms like regularized regression or support vector machines as well as deep learning approaches. Natural language must be dramatically transformed to be ready for computation, so we explore typical text preprocessing and feature engineering steps like tokenization and word embeddings from the ground up. These steps influence model results in ways we can measure, both in terms of model metrics and other tangible consequences such as how fair or appropriate model results are.

Humanities Data in R

Taylor Arnold,Lauren Tilton
Humanities Data in R Book PDF

Author : Taylor Arnold,Lauren Tilton
Publisher : Springer
Page : 211 pages
File Size : 49,5 Mb
Release : 2015-09-23
Category : Computers
ISBN : 9783319207025

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Humanities Data in R by Taylor Arnold,Lauren Tilton Pdf

​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. ​

Textual Analysis Made Easy

C. Brian Taylor
Textual Analysis Made Easy Book PDF

Author : C. Brian Taylor
Publisher : Taylor & Francis
Page : 156 pages
File Size : 49,5 Mb
Release : 2016-10-04
Category : Education
ISBN : 9781317361701

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Textual Analysis Made Easy by C. Brian Taylor Pdf

In this new book, you’ll learn how to teach evidence-based writing using a variety of tools, activities, and sample literary texts. Showing elementary and middle school students how to think critically about what they’re reading can be a challenge, but author C. Brian Taylor makes it easy by presenting twelve critical thinking tools along with step-by-step instructions for implementing each one effectively in the classroom. You’ll learn how to: Design units and lesson plans that gradually introduce your students to more complex levels of textual analysis; Encourage students to dig deeper by using the 12 Tools for Critical Thinking; Help students identify context and analyze quotes with the Evidence Finder graphic organizer; Use the Secret Recipe strategy to construct persuasive evidence-based responses that analyze a text’s content or technique; Create Cue Cards to teach students how to recognize and define common literary devices. The book also offers a series of extra examples using mentor texts, so you can clearly see how the strategies in this book can be applied to excerpts from popular, canonical, and semi-historical literature. Additionally, a number of the tools and templates in the book are available as free eResources from our website (http://www.routledge.com/9781138950658), so you can start using them immediately in your classroom.

Close Reading: The Basics

David Greenham
Close Reading The Basics Book PDF

Author : David Greenham
Publisher : Routledge
Page : 180 pages
File Size : 54,7 Mb
Release : 2018-07-27
Category : Literary Criticism
ISBN : 9781351356930

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Close Reading: The Basics by David Greenham Pdf

Close reading is the most essential skill that literature students continue to develop across the full length of their studies. This book is the ideal guide to the practice, providing a methodology that can be used for poetry, novels, drama, and beyond. Using classic works of literature, such as Hamlet and The Great Gatsby as case studies, David Greenham presents a unique, contextual approach to close reading, while addressing key questions such as: What is close reading? What is the importance of the relationships between words? How can close reading enhance reading pleasure? Is there a method of close reading that works for all literary genres? How can close reading unlock complexity? How does the practice of close reading relate to other theoretical and critical approaches? Close Reading: The Basics is formulated to bring together reading pleasure and analytic techniques that will engage the student of literature and enhance their reading experience.

Macroanalysis

Matthew L. Jockers
Macroanalysis Book PDF

Author : Matthew L. Jockers
Publisher : University of Illinois Press
Page : 211 pages
File Size : 48,9 Mb
Release : 2013-04-15
Category : Computers
ISBN : 9780252094767

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Macroanalysis by Matthew L. Jockers Pdf

In this volume, Matthew L. Jockers introduces readers to large-scale literary computing and the revolutionary potential of macroanalysis--a new approach to the study of the literary record designed for probing the digital-textual world as it exists today, in digital form and in large quantities. Using computational analysis to retrieve key words, phrases, and linguistic patterns across thousands of texts in digital libraries, researchers can draw conclusions based on quantifiable evidence regarding how literary trends are employed over time, across periods, within regions, or within demographic groups, as well as how cultural, historical, and societal linkages may bind individual authors, texts, and genres into an aggregate literary culture. Moving beyond the limitations of literary interpretation based on the "close-reading" of individual works, Jockers describes how this new method of studying large collections of digital material can help us to better understand and contextualize the individual works within those collections.

Data Visualization in Enlightenment Literature and Culture

Ileana Baird
Data Visualization in Enlightenment Literature and Culture Book PDF

Author : Ileana Baird
Publisher : Springer Nature
Page : 385 pages
File Size : 49,8 Mb
Release : 2021-03-23
Category : Literary Criticism
ISBN : 9783030549138

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Data Visualization in Enlightenment Literature and Culture by Ileana Baird Pdf

Data Visualization in Enlightenment Literature and Culture explores the new interpretive possibilities offered by using data visualization in eighteenth-century studies. Such visualizations include tabulations, charts, k-means clustering, topic modeling, network graphs, data mapping, and/or other illustrations of patterns of social or intellectual exchange. The contributions to this collection present groundbreaking research of texts and/or cultural trends emerging from data mined from existing databases and other aggregates of sources. Describing both small and large digital projects by scholars in visual arts, history, musicology, and literary studies, this collection addresses the benefits and challenges of employing digital tools, as well as their potential use in the classroom. Chapters 1, 3, 8 and 10 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Handbook of Empirical Literary Studies

Donald Kuiken,Arthur M. Jacobs
Handbook of Empirical Literary Studies Book PDF

Author : Donald Kuiken,Arthur M. Jacobs
Publisher : Walter de Gruyter GmbH & Co KG
Page : 707 pages
File Size : 41,6 Mb
Release : 2021-09-20
Category : Literary Criticism
ISBN : 9783110644784

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Handbook of Empirical Literary Studies by Donald Kuiken,Arthur M. Jacobs Pdf

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.

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 : 51,7 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.

Dynamic Documents with R and knitr

Yihui Xie
Dynamic Documents with R and knitr Book PDF

Author : Yihui Xie
Publisher : CRC Press
Page : 294 pages
File Size : 55,9 Mb
Release : 2017-07-12
Category : Business & Economics
ISBN : 9781315363271

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Dynamic Documents with R and knitr by Yihui Xie Pdf

Quickly and Easily Write Dynamic Documents Suitable for both beginners and advanced users, Dynamic Documents with R and knitr, Second Edition makes writing statistical reports easier by integrating computing directly with reporting. Reports range from homework, projects, exams, books, blogs, and web pages to virtually any documents related to statistical graphics, computing, and data analysis. The book covers basic applications for beginners while guiding power users in understanding the extensibility of the knitr package. New to the Second Edition A new chapter that introduces R Markdown v2 Changes that reflect improvements in the knitr package New sections on generating tables, defining custom printing methods for objects in code chunks, the C/Fortran engines, the Stan engine, running engines in a persistent session, and starting a local server to serve dynamic documents Boost Your Productivity in Statistical Report Writing and Make Your Scientific Computing with R Reproducible Like its highly praised predecessor, this edition shows you how to improve your efficiency in writing reports. The book takes you from program output to publication-quality reports, helping you fine-tune every aspect of your report.

A New Companion to Digital Humanities

Susan Schreibman,Ray Siemens,John Unsworth
A New Companion to Digital Humanities Book PDF

Author : Susan Schreibman,Ray Siemens,John Unsworth
Publisher : John Wiley & Sons
Page : 596 pages
File Size : 46,6 Mb
Release : 2016-01-26
Category : Literary Criticism
ISBN : 9781118680599

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A New Companion to Digital Humanities by Susan Schreibman,Ray Siemens,John Unsworth Pdf

This highly-anticipated volume has been extensively revised to reflect changes in technology, digital humanities methods and practices, and institutional culture surrounding the valuation and publication of digital scholarship. A fully revised edition of a celebrated reference work, offering the most comprehensive and up-to-date collection of research currently available in this rapidly evolving discipline Includes new articles addressing topical and provocative issues and ideas such as retro computing, desktop fabrication, gender dynamics, and globalization Brings together a global team of authors who are pioneers of innovative research in the digital humanities Accessibly structured into five sections exploring infrastructures, creation, analysis, dissemination, and the future of digital humanities Surveys the past, present, and future of the field, offering essential research for anyone interested in better understanding the theory, methods, and application of the digital humanities