Quantitative Text Analysis
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Fundamentals Of Quantitative Text Analysis
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Author : Jonathan Slapin
language : en
Publisher:
Release Date : 2017
Fundamentals Of Quantitative Text Analysis written by Jonathan Slapin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
Learn how to analyze large amounts of textual data by applying your R programming skills to an efficient, powerful and easy-to-use method - quantitative text analysis. This course is perfect for social scientists who want to understand the theory and assumptions that underpin quantitative text analysis, whilst developing their R programming skills via practical examples of analysis with real texts. Not familiar with R? Take our Introduction to R course first. By the end of this course you will be able to: Understand the theoretical basis for Quantitative Text Analysis Survey methods for systematically extracting quantitative information from text for social scientific purposes Identify texts and units of texts for analysis Convert texts into matrices for quantitative analysis Analyze these matrices in order to generate inferences using quantitative or statistical methods.
Text Analysis With R
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Author : Matthew L. Jockers
language : en
Publisher: Springer Nature
Release Date : 2020-03-30
Text Analysis With R written by Matthew L. Jockers and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-30 with Computers categories.
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 For The Social Sciences
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Author : Carl W. Roberts
language : en
Publisher: Routledge
Release Date : 2020-07-24
Text Analysis For The Social Sciences written by Carl W. Roberts and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-24 with Language Arts & Disciplines categories.
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.
Qualitative Text Analysis
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Author : Udo Kuckartz
language : en
Publisher: SAGE
Release Date : 2014-01-30
Qualitative Text Analysis written by Udo Kuckartz and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-30 with Social Science categories.
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 Masters and Doctoral students across the social sciences and for all researchers concerned with the systematic analysis of texts of any kind.
Quantitative Text Analysis
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Author : Luděk Hřebíček
language : en
Publisher:
Release Date : 1993
Quantitative Text Analysis written by Luděk Hřebíček and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Discourse analysis categories.
Text Analysis With R
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Author : Matthew Lee Jockers
language : en
Publisher:
Release Date : 2020
Text Analysis With R written by Matthew Lee Jockers and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Computational linguistics categories.
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.
Computer Assisted Text Analysis
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Author : Roel Popping
language : en
Publisher: SAGE
Release Date : 2000-02-28
Computer Assisted Text Analysis written by Roel Popping and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-02-28 with Social Science categories.
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.
Text Analytics
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Author : Domenica Fioredistella Iezzi
language : en
Publisher: Springer Nature
Release Date : 2020-11-24
Text Analytics written by Domenica Fioredistella Iezzi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-24 with Social Science categories.
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.
Quantitative Text Analysis In Geography
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Author : Thilo Wiertz
language : en
Publisher:
Release Date : 2018
Quantitative Text Analysis In Geography written by Thilo Wiertz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Abstract: Quantitative text analysis can support researchers working with a large number of documents. Corpus linguistic methods are already employed by geographers in the context of discourse studies, and recent discussions about big data and digital geographies point to a potential broadening of their application. However, building a corpus and adapting to existing data analysis tools can be challenging. In this paper, we outline possible steps towards collaborative quantitative text analysis through the use of computational methods and corpora that can be incorporated into a variety of research settings. We summarise key steps for creating annotated corpora from text sources using state of the art methods and tools. Using the open source software Corpus Workbench (Evert and Hardie 2011) and CQPweb (Hardie 2012), we provide a platform to access corpora and corpus analysis functionality via a web interface. We invite researchers to use this existing infrastructure for corpus linguistic methods in their teaching and research, and to collaborate in making interesting material available to the geographic research community
Analyzing Media Messages
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Author : Daniel Riffe
language : en
Publisher: Routledge
Release Date : 2014-02-05
Analyzing Media Messages written by Daniel Riffe and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-05 with Language Arts & Disciplines categories.
Analyzing Media Messages is a primer for learning the technique of systematic, quantitative analysis of communication content. Rich with examples of recent and classic applications, it provides solutions to problems encountered in conducting content analysis, and it is written so that students can readily understand and apply the techniques. This thoroughly revised third edition includes current and engaging examples for today's students, in addition to a number of historically important cases. It emphasizes communication of visual imagery and studies of advertising content. Resources on the book’s companion website provide additional materials for students and instructors, including existing protocols, web links, and a bibliography of content analysis methods articles. This volume is intended for use as a primary text for content analysis coursework, or as a supplemental text in research methods courses. It is also an indispensable reference for researchers in mass media fields, political science, and other social and behavioral sciences.