Introducing Electronic Text Analysis

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Publisher : Routledge
ISBN 13 : 1134361599
Total Pages : 177 pages
Book Rating : 4.1/5 (343 download)

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Book Synopsis Introducing Electronic Text Analysis by : Svenja Adolphs

Download or read book Introducing Electronic Text Analysis written by Svenja Adolphs and published by Routledge. This book was released on 2006-09-27 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducing Electronic Text Analysis is a practical and much needed introduction to corpora – bodies of linguistic data. Written specifically for students studying this topic for the first time, the book begins with a discussion of the underlying principles of electronic text analysis. It then examines how these corpora enhance our understanding of literary and non-literary works. In the first section the author introduces the concepts of concordance and lexical frequency, concepts which are then applied to a range of areas of language study. Key areas examined are the use of on-line corpora to complement traditional stylistic analysis, and the ways in which methods such as concordance and frequency counts can reveal a particular ideology within a text. Presenting an accessible and thorough understanding of the underlying principles of electronic text analysis, the book contains abundant illustrative examples and a glossary with definitions of main concepts. It will also be supported by a companion website with links to on-line corpora so that students can apply their knowledge to further study. The accompanying website to this book can be found at http://www.routledge.com/textbooks/0415320216

Text Analysis with R

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Publisher : Springer Nature
ISBN 13 : 3030396436
Total Pages : 277 pages
Book Rating : 4.0/5 (33 download)

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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.

Introducing Pragmatics in Use

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Publisher : Taylor & Francis
ISBN 13 : 1136825878
Total Pages : 201 pages
Book Rating : 4.1/5 (368 download)

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Book Synopsis Introducing Pragmatics in Use by : Anne O'Keeffe

Download or read book Introducing Pragmatics in Use written by Anne O'Keeffe and published by Taylor & Francis. This book was released on 2011-02-28 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducing Pragmatics in Use is a lively and accessible introduction to pragmatics, which both covers theory and applies it to real spoken and written data. Pragmatics is the study of language in context, yet most textbooks rely on invented language examples. This innovative textbook systematically draws on language corpora to illustrate features such as creativity in small talk or how we apologise in English. The authors investigate the pragmatic implications of the globalisation of the English language and focus on the applications of pragmatics for teaching languages. In addition, a practical chapter on researching pragmatics aimed at developing students’ research skills is included. With a range of tasks aimed at putting theory into practice and chapter by chapter further reading recommendations, this is the ideal textbook for advanced undergraduate or postgraduate students of pragmatics and corpus linguistics within applied language/linguistics or TEFL/TESOL degrees.

Textual Analysis

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Publisher : SAGE
ISBN 13 : 9780761949930
Total Pages : 178 pages
Book Rating : 4.9/5 (499 download)

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Book Synopsis Textual Analysis by : Alan McKee

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.

Clinical Text Mining

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Publisher : Springer
ISBN 13 : 3319785036
Total Pages : 192 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Clinical Text Mining by : Hercules Dalianis

Download or read book Clinical Text Mining written by Hercules Dalianis and published by Springer. This book was released on 2018-05-14 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records. It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The difference between rule-based and machine learning-based methods, as well as between supervised and unsupervised machine learning methods, are also explained. Next, ethical concerns regarding the use of sensitive patient records for research purposes are discussed, including methods for de-identifying electronic patient records and safely storing patient records. The book’s closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters. The book provides a comprehensive overview of technical issues arising in clinical text mining, and offers a valuable guide for advanced students in health informatics, computational linguistics, and information retrieval, and for researchers entering these fields.

Digital Humanities Pedagogy

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Publisher : Open Book Publishers
ISBN 13 : 1909254258
Total Pages : 450 pages
Book Rating : 4.9/5 (92 download)

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Book Synopsis Digital Humanities Pedagogy by : Brett D. Hirsch

Download or read book Digital Humanities Pedagogy written by Brett D. Hirsch and published by Open Book Publishers. This book was released on 2012 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The essays in this collection offer a timely intervention in digital humanities scholarship, bringing together established and emerging scholars from a variety of humanities disciplines across the world. The first section offers views on the practical realities of teaching digital humanities at undergraduate and graduate levels, presenting case studies and snapshots of the authors' experiences alongside models for future courses and reflections on pedagogical successes and failures. The next section proposes strategies for teaching foundational digital humanities methods across a variety of scholarly disciplines, and the book concludes with wider debates about the place of digital humanities in the academy, from the field's cultural assumptions and social obligations to its political visions." (4e de couverture).

What Writing Does and How It Does It

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Publisher : Routledge
ISBN 13 : 1135649693
Total Pages : 372 pages
Book Rating : 4.1/5 (356 download)

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Book Synopsis What Writing Does and How It Does It by : Charles Bazerman

Download or read book What Writing Does and How It Does It written by Charles Bazerman and published by Routledge. This book was released on 2003-12-08 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: In What Writing Does and How It Does It, editors Charles Bazerman and Paul Prior offer a sophisticated introduction to methods for understanding, studying, and analyzing texts and writing practices. This volume addresses a variety of approaches to analyzing texts, and considers the processes of writing, exploring textual practices and their contexts, and examining what texts do and how texts mean rather than what they mean. Included are traditional modes of analysis (rhetorical, literary, linguistic), as well as newer modes, such as text and talk, genre and activity analysis, and intertextual analysis. The chapters have been developed to provide answers to a specified set of questions, with each one offering: *a preview of the chapter's content and purpose; *an introduction to basic concepts, referring to key theoretical and research studies in the area; *details on the types of data and questions for which the analysis is best used; *examples from a wide-ranging group of texts, including educational materials, student writing, published literature, and online and electronic media; *one or more applied analyses, with a clear statement of procedures for analysis and illustrations of a particular sample of data; and *a brief summary, suggestions for additional readings, and a set of activities. The side-by-side comparison of methods allows the reader to see the multi-dimensionality of writing, facilitating selection of the best method for a particular research question. The volume contributors are experts from linguistics, communication studies, rhetoric, literary analysis, document design, sociolinguistics, education, ethnography, and cultural psychology, and each utilizes a specific mode of text analysis. With its broad range of methodological examples, What Writing Does and How It Does It is a unique and invaluable resource for advanced undergraduate and graduate students and for researchers in education, composition, ESL and applied linguistics, communication, L1 and L2 learning, print media, and electronic media. It will also be useful in all social sciences and humanities that place importance on texts and textual practices, such as English, writing, and rhetoric.

Qualitative Text Analysis

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Publisher : SAGE
ISBN 13 : 1446297764
Total Pages : 193 pages
Book Rating : 4.4/5 (462 download)

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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.

An Introduction to Text Mining

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Publisher : SAGE Publications
ISBN 13 : 150633699X
Total Pages : 345 pages
Book Rating : 4.5/5 (63 download)

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Book Synopsis An Introduction to Text Mining by : Gabe Ignatow

Download or read book An Introduction to Text Mining written by Gabe Ignatow and published by SAGE Publications. This book was released on 2017-09-22 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Students in social science courses communicate, socialize, shop, learn, and work online. When they are asked to collect data for course projects they are often drawn to social media platforms and other online sources of textual data. There are many software packages and programming languages available to help students collect data online, and there are many texts designed to help with different forms of online research, from surveys to ethnographic interviews. But there is no textbook available that teaches students how to construct a viable research project based on online sources of textual data such as newspaper archives, site user comment archives, digitized historical documents, or social media user comment archives. Gabe Ignatow and Rada F. Mihalcea's new text An Introduction to Text Mining will be a starting point for undergraduates and first-year graduate students interested in collecting and analyzing textual data from online sources, and will cover the most critical issues that students must take into consideration at all stages of their research projects, including: ethical and philosophical issues; issues related to research design; web scraping and crawling; strategic data selection; data sampling; use of specific text analysis methods; and report writing.

Text as Data

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Publisher : Princeton University Press
ISBN 13 : 0691207550
Total Pages : 360 pages
Book Rating : 4.6/5 (912 download)

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Book Synopsis Text as Data by : Justin Grimmer

Download or read book Text as Data written by Justin Grimmer and published by Princeton University Press. This book was released on 2022-03-29 with total page 360 pages. Available in PDF, EPUB and Kindle. 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

The Routledge Handbook of Corpus Linguistics

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Publisher : Routledge
ISBN 13 : 1135153639
Total Pages : 711 pages
Book Rating : 4.1/5 (351 download)

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Book Synopsis The Routledge Handbook of Corpus Linguistics by : Anne O'Keeffe

Download or read book The Routledge Handbook of Corpus Linguistics written by Anne O'Keeffe and published by Routledge. This book was released on 2010-04-05 with total page 711 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an overview of a dynamic and rapidly growing area with a widely applied methodology. This handbook covers the historical development of the field and its growing influence and application in other areas. It is suitable for advanced undergraduates and postgraduates.

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

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Publisher : Academic Press
ISBN 13 : 012386979X
Total Pages : 1096 pages
Book Rating : 4.1/5 (238 download)

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Book Synopsis Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications by : Gary Miner

Download or read book Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications written by Gary Miner and published by Academic Press. This book was released on 2012-01-11 with total page 1096 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities"--

Content Analysis

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Publisher : SAGE
ISBN 13 : 9780761915454
Total Pages : 442 pages
Book Rating : 4.9/5 (154 download)

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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.

Methods of Text and Discourse Analysis

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Publisher : SAGE
ISBN 13 : 1446232840
Total Pages : 288 pages
Book Rating : 4.4/5 (462 download)

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Book Synopsis Methods of Text and Discourse Analysis by : Stefan Titscher

Download or read book Methods of Text and Discourse Analysis written by Stefan Titscher and published by SAGE. This book was released on 2000-07-26 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: ′This volume is the most comprehensive overview to date of sociologically orientated approaches to text and discourse analysis and is worth reading even for those who are interested only in purely linguistiv approaches to text and discourse. Its main merit, I think, is that it intorduces approaches which up to now have hardley been admitted into the universe of scientific discourse′ - Discourse Studies Methods of Text and Discourse Analysis provides the most comprehensive overview currently available of linguistic and sociological approaches to text and discourse analysis. Among the 10 linguistic and sociological models surveyed in this book some of the more important are Grounded Theory, Content Analysis, Conversation Analysis and Critical Discourse Analysis. The book presents each approach according to a standardised format, which allows for direct systematic comparisons. The fully annotated lists of sources provide readers with an additional means of evaluation of the competing analytical methods. Interdisciplinary and international in its aims, Methods of Text and Discourse Analysis suggests the benefits both linguists and sociologists will derive from a more intimate knowledge of each others′ methods and procedures.

A Companion to Digital Humanities

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Publisher : John Wiley & Sons
ISBN 13 : 1405168064
Total Pages : 642 pages
Book Rating : 4.4/5 (51 download)

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Book Synopsis A Companion to Digital Humanities by : Susan Schreibman

Download or read book A Companion to Digital Humanities written by Susan Schreibman and published by John Wiley & Sons. This book was released on 2008-03-03 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Companion offers a thorough, concise overview of the emerging field of humanities computing. Contains 37 original articles written by leaders in the field. Addresses the central concerns shared by those interested in the subject. Major sections focus on the experience of particular disciplines in applying computational methods to research problems; the basic principles of humanities computing; specific applications and methods; and production, dissemination and archiving. Accompanied by a website featuring supplementary materials, standard readings in the field and essays to be included in future editions of the Companion.

Electronic Texts in the Humanities

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Publisher : Oxford University Press
ISBN 13 : 0198711948
Total Pages : 234 pages
Book Rating : 4.1/5 (987 download)

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Book Synopsis Electronic Texts in the Humanities by : Susan M. Hockey

Download or read book Electronic Texts in the Humanities written by Susan M. Hockey and published by Oxford University Press. This book was released on 2000 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: With word processing and the Internet, computing is much more part and parcel of the everyday life of the humanities scholar, but computers can do much more than assist with writing or Internet searching. This book introduces a range of tools and techniques for manipulating and analysing electronic texts in the humanities. It shows how electronic texts can be used for the literary analysis, linguistic analysis, authorship attribution, and the preparation and publication of electronic scholarly editions. It assesses the ways in which research in corpus and computational linguistics can feed into better electronic tools for humanities research. The tools and techniques discussed in this book will feed into better Internet tools and pave the way for the electronic scholar of the twenty-first century.

Text Analytics with Python

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Author :
Publisher : Apress
ISBN 13 : 1484223888
Total Pages : 397 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Text Analytics with Python by : Dipanjan Sarkar

Download or read book Text Analytics with Python written by Dipanjan Sarkar and published by Apress. This book was released on 2016-11-30 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization. Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems. What You Will Learn: Understand the major concepts and techniques of natural language processing (NLP) and text analytics, including syntax and structure Build a text classification system to categorize news articles, analyze app or game reviews using topic modeling and text summarization, and cluster popular movie synopses and analyze the sentiment of movie reviews Implement Python and popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern Who This Book Is For : IT professionals, analysts, developers, linguistic experts, data scientists, and anyone with a keen interest in linguistics, analytics, and generating insights from textual data