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Textual Analysis
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Download or read book Textual Analysis written by Alan McKee and published by SAGE. This book was released on 2003-04-03 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Qualitative Text Analysis by : Udo Kuckartz
Download or read book Qualitative Text Analysis written by Udo Kuckartz and published by SAGE. This book was released on 2014-01-23 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Text Analysis with R by : Matthew L. Jockers
Download or read book Text Analysis with R written by Matthew L. Jockers and published by Springer Nature. This book was released on 2020-03-30 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Deliberating American Monetary Policy by : Cheryl Schonhardt-Bailey
Download or read book Deliberating American Monetary Policy written by Cheryl Schonhardt-Bailey and published by MIT Press. This book was released on 2013-11 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: American monetary policy is formulated by the Federal Reserve and overseen by Congress. Both policy making and oversight are deliberative processes, although the effect of this deliberation has been difficult to quantify. In this book, Cheryl Schonhardt-Bailey provides a systematic examination of deliberation on monetary policy from 1976 to 2008 by the Federal Reserve's Open Market Committee (FOMC) and House and Senate banking committees. Her innovative account employs automated textual analysis software to study the verbatim transcripts of FOMC meetings and congressional hearings; these empirical data are supplemented and supported by in-depth interviews with participants in these deliberations. The automated textual analysis measures the characteristic words, phrases, and arguments of committee members; the interviews offer a way to gauge the extent to which the empirical findings accord with the participants' personal experiences --
Book Synopsis Textual Analysis Made Easy by : C. Brian Taylor
Download or read book Textual Analysis Made Easy written by C. Brian Taylor and published by Routledge. This book was released on 2016-10-04 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Content Analysis by : Klaus Krippendorff
Download or read book Content Analysis written by Klaus Krippendorff and published by SAGE. This book was released on 2004 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Second Edition of Content Analysis: An Introduction to Its Methodology is a definitive sourcebook of the history and core principles of content analysis as well as an essential resource for present and future studies. The book introduces readers to ways of analyzing meaningful matter such as texts, images, voices - that is, data whose physical manifestations are secondary to the meanings that a particular population of people brings to them. Organized into three parts, the book examines the conceptual and methodological aspects of content analysis and also traces several paths through content analysis protocols. The author has completely revised and updated the Second Edition, integrating new information on computer-aided text analysis. The book also includes a practical guide that incorporates experiences in teaching and how to advise academic and commercial researchers. In addition, Krippendorff clarifies the epistemology and logic of content analysis as well as the methods for achieving its aims. Intended as a textbook for advanced undergraduate and graduate students across the social sciences, Content Analysis, Second Edition will also be a valuable resource for practitioners in a variety of disciplines.
Download or read book Text Mining with R written by Julia Silge and published by "O'Reilly Media, Inc.". This book was released on 2017-06-12 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Analysing Discourse by : Norman Fairclough
Download or read book Analysing Discourse written by Norman Fairclough and published by Psychology Press. This book was released on 2003 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The book is an essential resource seeking to analyze real texts and discourse."--BOOK JACKET.
Book Synopsis Text Analysis in Translation by : Christiane Nord
Download or read book Text Analysis in Translation written by Christiane Nord and published by BRILL. This book was released on 2006-01-01 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text Analysis in Translation has become a classic in Translation Studies. Based on a functional approach to translation and endebted to pragmatic text linguistics, it suggests a model for translation-oriented source-text analysis applicable to all text types and genres independent of the language and culture pairs involved. Part 1 of the study presents the theoretical framework on which the model is based, and surveys the various concepts of translation theory and text linguistics. Part 2 describes the role and scope of source-text analysis in the translation process and explains why the model is relevant to translation. Part 3 presents a detailed study of the extratextual and intratextual factors and their interaction in the text, using numerous examples from all areas of professional translation. Part 4 discusses the applications of the model to translator training, placing particular emphasis on the selection of material for translation classes, grading the difficulty of translation tasks, and translation quality assessment. The book concludes with the practical analysis of a number of texts and their translations, taking into account various text types and several languages (German, English, Spanish, French, Italian, Portuguese, and Dutch).
Book Synopsis Applied Text Analysis with Python by : Benjamin Bengfort
Download or read book Applied Text Analysis with Python written by Benjamin Bengfort and published by "O'Reilly Media, Inc.". This book was released on 2018-06-11 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist’s approach to building language-aware products with applied machine learning. You’ll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you’ll be equipped with practical methods to solve any number of complex real-world problems. Preprocess and vectorize text into high-dimensional feature representations Perform document classification and topic modeling Steer the model selection process with visual diagnostics Extract key phrases, named entities, and graph structures to reason about data in text Build a dialog framework to enable chatbots and language-driven interaction Use Spark to scale processing power and neural networks to scale model complexity
Book Synopsis Textual Analysis by : Martin W Bauer
Download or read book Textual Analysis written by Martin W Bauer and published by SAGE Publications Limited. This book was released on 2014-04-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This four-volume Major Work mines the extensive research of the past few decades into textual analysis. The set’s esteemed team of editorshave collated seminal papers which consider the key difference between content analysis and textual analysis, the conceptual starting point and the logic and the attitude of the research process, as well as exploring the tension between reading a text and using a text, amongst other key issues. With experienced and respected figures in the field at the helm, the carefully selected papers in this collection are put into context and analysed in a newly-written introductory chapter which charts the developments and looks to the future of the field. Volume One: Basic philosophical considerations Volume Two: Modalities of textual work Volume Three: Reading Text Volume Four: Using Text
Book Synopsis Supervised Machine Learning for Text Analysis in R by : Emil Hvitfeldt
Download or read book Supervised Machine Learning for Text Analysis in R written by Emil Hvitfeldt and published by CRC Press. This book was released on 2021-10-22 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Games as Texts written by Alayna Cole and published by CRC Press. This book was released on 2020-12-17 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: Games as Texts provides an overview and practical steps for analysing games in terms of their representations of social structures, class, power, race, sexuality, gender, animals, nature, and ability. Each chapter applies a traditional literary theory to the narrative and mechanics of games and explores the social commentary the games encourage. This approach demonstrates to players, researchers, games media, and non-gamers how they can engage with these cultural artefacts through both critical reading and theoretical interpretations. Key Features: Explores games through various literary and theoretical lenses Provides exemplar analysis and guiding questions to help readers think critically about games Highlights the social commentary that all texts can reveal—including games—and how this impacts narrative and mechanics
Book Synopsis Computer-Assisted Text Analysis by : Roel Popping
Download or read book Computer-Assisted Text Analysis written by Roel Popping and published by SAGE. This book was released on 2000-02-28 with total page 242 pages. Available in PDF, EPUB and Kindle. 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.
Book Synopsis Advances in Written Text Analysis by : Malcolm Coulthard
Download or read book Advances in Written Text Analysis written by Malcolm Coulthard and published by Routledge. This book was released on 2002-11-01 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work provides an overview of a wide range of approaches to written text analysis. It includes both classic and specially commissioned papers by distinguished authors, which share a common linguistic framework. The pieces contain a variety of focuses from the patterning of paragraphs, sections or whole texts to the organization of clauses, individual expressions and single words, as well as a variety of text-types. The examples used range from pure science through social science, academic journals, weekly magazines and newspapers, to literary narratives. This collection forms the basis for an course on written text analysis that should be of interest to advanced undergraduate and postgraduate students.
Book Synopsis Reading Pop : Approaches to Textual Analysis in Popular Music by : Richard Middleton
Download or read book Reading Pop : Approaches to Textual Analysis in Popular Music written by Richard Middleton and published by Oxford University Press, USA. This book was released on 2000-06-08 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reading Pop collects together key essays on the interpretation of pop songs previously published in the journal Popular Music. In sixteen varied studies by many of the best-known scholars, all the most influential approaches are represented. An introduction by leading pop academic Richard Middleton puts them into context and outlines the main debates. A select bibliography of other writings on pop music analysis adds to the usefulness of the book, which will become a central text in popular music studies. - ;Reading Pop collects together key essays on the interpretation of pop songs previously published in the journal Popular Music. In sixteen varied studies by many of the best-known scholars, all the most influential approaches are represented. An introduction by leading pop academic Richard Middleton puts them into context and outlines the main debates. A select bibliography of other writings on pop music analysis adds to the usefulness of the book, which will become a central text in popular music studies. - ;extensive introduction is particularly valuable ... the paperback price is worth it for the introduction, and the Bjornberg and Tagg essays, alone. - Allan More, British Journal of Music Education
Book Synopsis The Content Analysis Guidebook by : Kimberly A. Neuendorf
Download or read book The Content Analysis Guidebook written by Kimberly A. Neuendorf and published by SAGE. This book was released on 2017 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: Content analysis is a complex research methodology. This book provides an accessible text for upper level undergraduates and graduate students, comprising step-by-step instructions and practical advice.
