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This work provides an overview of approaches to written text analysis, including both classic and commissioned papers which share a common linguistic framework. The examples used range from pure science, social science and periodicals to literary narratives.
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 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work provides an overview of approaches to written text analysis, including both classic and commissioned papers which share a common linguistic framework. The examples used range from pure science, social science and periodicals to literary narratives.
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 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.
The focus of this volume is on medical discourse, a domain of language which deserves closer scrutiny by academics as well as practitioners, due to its increasing relevance and pervasiveness in modern society. Despite the wealth of publications dealing with specialized or academic discourse and its rhetoric, few of these are devoted specifically to medical discourse. This book seeks to redress the balance by bringing together a number of studies that bear witness to the widespread interest in medical texts shown by linguists and professional communities around the world. The volume is divided into two main parts: the first targets medical discourse in its spoken dimension, while the second contains various analyses of written texts. The theoretical perspectives and individual case studies presented here reflect the wide range of methodological approaches and theoretical issues that characterise current research in the field.
Book Synopsis Advances in Medical Discourse Analysis by : Maurizio Gotti
Download or read book Advances in Medical Discourse Analysis written by Maurizio Gotti and published by Peter Lang. This book was released on 2006 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: The focus of this volume is on medical discourse, a domain of language which deserves closer scrutiny by academics as well as practitioners, due to its increasing relevance and pervasiveness in modern society. Despite the wealth of publications dealing with specialized or academic discourse and its rhetoric, few of these are devoted specifically to medical discourse. This book seeks to redress the balance by bringing together a number of studies that bear witness to the widespread interest in medical texts shown by linguists and professional communities around the world. The volume is divided into two main parts: the first targets medical discourse in its spoken dimension, while the second contains various analyses of written texts. The theoretical perspectives and individual case studies presented here reflect the wide range of methodological approaches and theoretical issues that characterise current research in the field.
Focusing on methodologies, applications and challenges of textual data analysis and related fields, this book gathers selected and peer-reviewed contributions presented at the 14th International Conference on Statistical Analysis of Textual Data (JADT 2018), held in Rome, Italy, on June 12-15, 2018. Statistical analysis of textual data is a multidisciplinary field of research that has been mainly fostered by statistics, linguistics, mathematics and computer science. The respective sections of the book focus on techniques, methods and models for text analytics, dictionaries and specific languages, multilingual text analysis, and the applications of text analytics. The interdisciplinary contributions cover topics including text mining, text analytics, network text analysis, information extraction, sentiment analysis, web mining, social media analysis, corpus and quantitative linguistics, statistical and computational methods, and textual data in sociology, psychology, politics, law and marketing.
Book Synopsis Text Analytics by : Domenica Fioredistella Iezzi
Download or read book Text Analytics written by Domenica Fioredistella Iezzi and published by Springer Nature. This book was released on 2020-11-24 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on methodologies, applications and challenges of textual data analysis and related fields, this book gathers selected and peer-reviewed contributions presented at the 14th International Conference on Statistical Analysis of Textual Data (JADT 2018), held in Rome, Italy, on June 12-15, 2018. Statistical analysis of textual data is a multidisciplinary field of research that has been mainly fostered by statistics, linguistics, mathematics and computer science. The respective sections of the book focus on techniques, methods and models for text analytics, dictionaries and specific languages, multilingual text analysis, and the applications of text analytics. The interdisciplinary contributions cover topics including text mining, text analytics, network text analysis, information extraction, sentiment analysis, web mining, social media analysis, corpus and quantitative linguistics, statistical and computational methods, and textual data in sociology, psychology, politics, law and marketing.
This volume showcases some of the latest research on academic writing by leading and up-and-coming corpus linguists. The studies included in the volume are based on a wide range of corpora spanning first and second language academic writing at different levels of writing expertise, containing texts from a variety of academic disciplines (and sub-disciplines) and of different academic registers. Particularly novel aspects of the collection are the inclusion of research that combines rhetorical moves with multi-dimensional analysis, studies that cover both fixed and variable phraseological items (lexical bundles, phrase-frames, constructions), and work that is based on corpora of English as an academic lingua franca. Going beyond merely summarizing their findings, the authors also discuss what their research means for academic writing practice and pedagogical settings. The volume will be of interest to researchers, students, and teachers who would like to expand their knowledge of how academic writing functions and what it looks like in a variety of contexts.
Book Synopsis Advances in Corpus-based Research on Academic Writing by : Ute Römer
Download or read book Advances in Corpus-based Research on Academic Writing written by Ute Römer and published by John Benjamins Publishing Company. This book was released on 2020-02-15 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume showcases some of the latest research on academic writing by leading and up-and-coming corpus linguists. The studies included in the volume are based on a wide range of corpora spanning first and second language academic writing at different levels of writing expertise, containing texts from a variety of academic disciplines (and sub-disciplines) and of different academic registers. Particularly novel aspects of the collection are the inclusion of research that combines rhetorical moves with multi-dimensional analysis, studies that cover both fixed and variable phraseological items (lexical bundles, phrase-frames, constructions), and work that is based on corpora of English as an academic lingua franca. Going beyond merely summarizing their findings, the authors also discuss what their research means for academic writing practice and pedagogical settings. The volume will be of interest to researchers, students, and teachers who would like to expand their knowledge of how academic writing functions and what it looks like in a variety of contexts.
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 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.
This book is among the first to combine a historical view of media texts with a critical look at their textual diversity today. The thirteen chapters cover corpora of early news-papers and pamphlets, present-day news stories and commentaries, TV talk shows and commercials as well as internet presentations. The studies focus on the wide range of text types in 18th century newspapers and the interpersonal strategies of pamphlets; they pursue the development of the persuasive potential of headlines and advertisements right down to the sophisticated postmodernist and multilingual examples of today. Other topics are the definition and structure of news stories and commentaries, the interpersonal and multi-modal aspects of talkshows, and more radically, the questioning of the journalist's role in the age of the internet. Generally the stress is on the attention-getting side of media texts rather than on the manipulative qualities investigated by critical discourse analysis.
Book Synopsis English Media Texts, Past and Present by : Friedrich Ungerer
Download or read book English Media Texts, Past and Present written by Friedrich Ungerer and published by John Benjamins Publishing. This book was released on 2000-01-01 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is among the first to combine a historical view of media texts with a critical look at their textual diversity today. The thirteen chapters cover corpora of early news-papers and pamphlets, present-day news stories and commentaries, TV talk shows and commercials as well as internet presentations. The studies focus on the wide range of text types in 18th century newspapers and the interpersonal strategies of pamphlets; they pursue the development of the persuasive potential of headlines and advertisements right down to the sophisticated postmodernist and multilingual examples of today. Other topics are the definition and structure of news stories and commentaries, the interpersonal and multi-modal aspects of talkshows, and more radically, the questioning of the journalist's role in the age of the internet. Generally the stress is on the attention-getting side of media texts rather than on the manipulative qualities investigated by critical discourse analysis.
Focusing on methodologies, applications and challenges of textual data analysis and related fields, this book gathers selected and peer-reviewed contributions presented at the 14th International Conference on Statistical Analysis of Textual Data (JADT 2018), held in Rome, Italy, on June 12-15, 2018. Statistical analysis of textual data is a multidisciplinary field of research that has been mainly fostered by statistics, linguistics, mathematics and computer science. The respective sections of the book focus on techniques, methods and models for text analytics, dictionaries and specific languages, multilingual text analysis, and the applications of text analytics. The interdisciplinary contributions cover topics including text mining, text analytics, network text analysis, information extraction, sentiment analysis, web mining, social media analysis, corpus and quantitative linguistics, statistical and computational methods, and textual data in sociology, psychology, politics, law and marketing.
Book Synopsis Text Analytics by : Domenica Fioredistella Iezzi
Download or read book Text Analytics written by Domenica Fioredistella Iezzi and published by Springer. This book was released on 2020-11-25 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on methodologies, applications and challenges of textual data analysis and related fields, this book gathers selected and peer-reviewed contributions presented at the 14th International Conference on Statistical Analysis of Textual Data (JADT 2018), held in Rome, Italy, on June 12-15, 2018. Statistical analysis of textual data is a multidisciplinary field of research that has been mainly fostered by statistics, linguistics, mathematics and computer science. The respective sections of the book focus on techniques, methods and models for text analytics, dictionaries and specific languages, multilingual text analysis, and the applications of text analytics. The interdisciplinary contributions cover topics including text mining, text analytics, network text analysis, information extraction, sentiment analysis, web mining, social media analysis, corpus and quantitative linguistics, statistical and computational methods, and textual data in sociology, psychology, politics, law and marketing.
Methods of approaching the study of discourse have developed rapidly in the last ten years, influenced by a growing interdisciplinary spirit among linguistics and anthropology, sociology, cognitive and cultural psychology and cultural studies, as well as among established sub-fields within linguistics itself. Among the more recent developments are an increasing ‘critical’ turn in discourse analysis, a growing interest in historical, ethnographic and corpus-based approaches to discourse, more concern with the social contexts in which discourse occurs, the social actions that it is used to take and the identities that are constructed through it, as well as a revaluation of what counts as ‘discourse’ to include multi-modal texts and interaction. Advances in Discourse Studies brings together contributions from leading scholars in the field, investigating the historical and theoretical relationships between new advances in discourse studies and pointing towards new directions for the future of the discipline. Featuring discussion questions, classroom projects and recommended readings at the end of each section, as well as case studies illustrating each approach discussed, this is an invaluable resource for students of interdisciplinary discourse analysis.
Book Synopsis Advances in Discourse Studies by : Vijay Bhatia
Download or read book Advances in Discourse Studies written by Vijay Bhatia and published by Routledge. This book was released on 2008-03-10 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods of approaching the study of discourse have developed rapidly in the last ten years, influenced by a growing interdisciplinary spirit among linguistics and anthropology, sociology, cognitive and cultural psychology and cultural studies, as well as among established sub-fields within linguistics itself. Among the more recent developments are an increasing ‘critical’ turn in discourse analysis, a growing interest in historical, ethnographic and corpus-based approaches to discourse, more concern with the social contexts in which discourse occurs, the social actions that it is used to take and the identities that are constructed through it, as well as a revaluation of what counts as ‘discourse’ to include multi-modal texts and interaction. Advances in Discourse Studies brings together contributions from leading scholars in the field, investigating the historical and theoretical relationships between new advances in discourse studies and pointing towards new directions for the future of the discipline. Featuring discussion questions, classroom projects and recommended readings at the end of each section, as well as case studies illustrating each approach discussed, this is an invaluable resource for students of interdisciplinary discourse analysis.
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
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
