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Author: Alan McKee
Publisher: SAGE
ISBN: 9780761949930
Category : Business & Economics
Languages : en
Pages : 178
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Book Description
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.
Author: Alan McKee
Publisher: SAGE
ISBN: 9780761949930
Category : Business & Economics
Languages : en
Pages : 178
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Book Description
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.
Author: Matthew L. Jockers
Publisher: Springer Nature
ISBN: 3030396436
Category : Computers
Languages : en
Pages : 283
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Book Description
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.
Author: Udo Kuckartz
Publisher: SAGE
ISBN: 1446297764
Category : Reference
Languages : en
Pages : 193
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Book Description
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.
Author: Alan McKee
Publisher: SAGE
ISBN: 9780761949930
Category : Social Science
Languages : en
Pages : 180
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Book Description
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.
Author: Julia Silge
Publisher: "O'Reilly Media, Inc."
ISBN: 1491981628
Category : Computers
Languages : en
Pages : 193
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Book Description
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.
Author: Cheryl Schonhardt-Bailey
Publisher: MIT Press
ISBN: 0262019574
Category : Business & Economics
Languages : en
Pages : 537
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Book Description
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 --
Author: Emil Hvitfeldt
Publisher: CRC Press
ISBN: 1000461971
Category : Computers
Languages : en
Pages : 402
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Book Description
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.
Author: Roel Popping
Publisher: SAGE
ISBN: 0761953795
Category : Social Science
Languages : en
Pages : 242
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Book Description
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.
Author: Benjamin Bengfort
Publisher: "O'Reilly Media, Inc."
ISBN: 1491962992
Category : Computers
Languages : en
Pages : 328
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Book Description
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
Author: Norman Fairclough
Publisher: Psychology Press
ISBN: 9780415258937
Category : Foreign Language Study
Languages : en
Pages : 294
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Book Description
"The book is an essential resource seeking to analyze real texts and discourse."--BOOK JACKET.
