Text Analytics for Corpus Linguistics and Digital Humanities

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Author :
Publisher : Bloomsbury Publishing
ISBN 13 : 1350370835
Total Pages : 241 pages
Book Rating : 4.3/5 (53 download)

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Book Synopsis Text Analytics for Corpus Linguistics and Digital Humanities by : Gerold Schneider

Download or read book Text Analytics for Corpus Linguistics and Digital Humanities written by Gerold Schneider and published by Bloomsbury Publishing. This book was released on 2024-05-02 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you want to gain a deeper understanding of how big tech analyzes and exploits our text data, or investigate how political parties differ by analyzing textual styles, associations and trends in documents? Or create a map of a text collection and write a simple QA system yourself? This book explores how to apply state-of-the-art text analytics methods to detect and visualize phenomena in text data. Solidly based on methods from corpus linguistics, natural language processing, text analytics and digital humanities, this book shows readers how to conduct experiments with their own corpora and research questions, underpin their theories, quantify the differences and pinpoint characteristics. Case studies and experiments are detailed in every chapter using real-world and open access corpora from politics, World English, history, and literature. The results are interpreted and put into perspective, pitfalls are pointed out, and necessary pre-processing steps are demonstrated. This book also demonstrates how to use the programming language R, as well as simple alternatives and additions to R, to conduct experiments and employ visualisations by example, with extensible R-code, recipes, links to corpora, and a wide range of methods. The methods introduced can be used across texts of all disciplines, from history or literature to party manifestos and patient reports.

Applying Language Technology in Humanities Research

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Author :
Publisher : Springer Nature
ISBN 13 : 3030464938
Total Pages : 133 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Applying Language Technology in Humanities Research by : Barbara McGillivray

Download or read book Applying Language Technology in Humanities Research written by Barbara McGillivray and published by Springer Nature. This book was released on 2020-07-13 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents established and state-of-the-art methods in Language Technology (including text mining, corpus linguistics, computational linguistics, and natural language processing), and demonstrates how they can be applied by humanities scholars working with textual data. The landscape of humanities research has recently changed thanks to the proliferation of big data and large textual collections such as Google Books, Early English Books Online, and Project Gutenberg. These resources have yet to be fully explored by new generations of scholars, and the authors argue that Language Technology has a key role to play in the exploration of large-scale textual data. The authors use a series of illustrative examples from various humanistic disciplines (mainly but not exclusively from History, Classics, and Literary Studies) to demonstrate basic and more complex use-case scenarios. This book will be useful to graduate students and researchers in humanistic disciplines working with textual data, including History, Modern Languages, Literary studies, Classics, and Linguistics. This is also a very useful book for anyone teaching or learning Digital Humanities and interested in the basic concepts from computational linguistics, corpus linguistics, and natural language processing.

Text Analytics for Corpus Linguistics and Digital Humanities

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Author :
Publisher : Bloomsbury Publishing
ISBN 13 : 1350370843
Total Pages : 164 pages
Book Rating : 4.3/5 (53 download)

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Book Synopsis Text Analytics for Corpus Linguistics and Digital Humanities by : Gerold Schneider

Download or read book Text Analytics for Corpus Linguistics and Digital Humanities written by Gerold Schneider and published by Bloomsbury Publishing. This book was released on 2024-05-02 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you want to gain a deeper understanding of how big tech analyzes and exploits our text data, or investigate how political parties differ by analyzing textual styles, associations and trends in documents? Or create a map of a text collection and write a simple QA system yourself? This book explores how to apply state-of-the-art text analytics methods to detect and visualize phenomena in text data. Solidly based on methods from corpus linguistics, natural language processing, text analytics and digital humanities, this book shows readers how to conduct experiments with their own corpora and research questions, underpin their theories, quantify the differences and pinpoint characteristics. Case studies and experiments are detailed in every chapter using real-world and open access corpora from politics, World English, history, and literature. The results are interpreted and put into perspective, pitfalls are pointed out, and necessary pre-processing steps are demonstrated. This book also demonstrates how to use the programming language R, as well as simple alternatives and additions to R, to conduct experiments and employ visualisations by example, with extensible R-code, recipes, links to corpora, and a wide range of methods. The methods introduced can be used across texts of all disciplines, from history or literature to party manifestos and patient reports.

Python Programming for Linguistics and Digital Humanities

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119907942
Total Pages : 295 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Python Programming for Linguistics and Digital Humanities by : Martin Weisser

Download or read book Python Programming for Linguistics and Digital Humanities written by Martin Weisser and published by John Wiley & Sons. This book was released on 2024-01-31 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use Python for linguistics and digital humanities research, perfect for students working with Python for the first time Python programming is no longer only for computer science students; it is now an essential skill in linguistics, the digital humanities (DH), and social science programs that involve text analytics. Python Programming for Linguistics and Digital Humanities provides a comprehensive introduction to this widely used programming language, offering guidance on using Python to perform various processing and analysis techniques on text. Assuming no prior knowledge of programming, this student-friendly guide covers essential topics and concepts such as installing Python, using the command line, working with strings, writing modular code, designing a simple graphical user interface (GUI), annotating language data in XML and TEI, creating basic visualizations, and more. This invaluable text explains the basic tools students will need to perform their own research projects and tackle various data analysis problems. Throughout the book, hands-on exercises provide students with the opportunity to apply concepts to particular questions or projects in processing textual data and solving language-related issues. Each chapter concludes with a detailed discussion of the code applied, possible alternatives, and potential pitfalls or error messages. Teaches students how to use Python to tackle the types of problems they will encounter in linguistics and the digital humanities Features numerous practical examples of language analysis, gradually moving from simple concepts and programs to more complex projects Describes how to build a variety of data visualizations, such as frequency plots and word clouds Focuses on the text processing applications of Python, including creating word and frequency lists, recognizing linguistic patterns, and processing words for morphological analysis Includes access to a companion website with all Python programs produced in the chapter exercises and additional Python programming resources Python Programming for Linguistics and Digital Humanities: Applications for Text-Focused Fields is a must-have resource for students pursuing text-based research in the humanities, the social sciences, and all subfields of linguistics, particularly computational linguistics and corpus linguistics.

Corpus Linguistics and Translation Tools for Digital Humanities

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Author :
Publisher : Bloomsbury Publishing
ISBN 13 : 1350275239
Total Pages : 248 pages
Book Rating : 4.3/5 (52 download)

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Book Synopsis Corpus Linguistics and Translation Tools for Digital Humanities by : Stefania M. Maci

Download or read book Corpus Linguistics and Translation Tools for Digital Humanities written by Stefania M. Maci and published by Bloomsbury Publishing. This book was released on 2022-07-14 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting the digital humanities as both a domain of practice and as a set of methodological approaches to be applied to corpus linguistics and translation, chapters in this volume provide a novel and original framework to triangulate research for pursuing both scientific and educational goals within the digital humanities. They also highlight more broadly the importance of data triangulation in corpus linguistics and translation studies. Putting forward practical applications for digging into data, this book is a detailed examination of how to integrate quantitative and qualitative approaches through case studies, sample analysis and practical examples.

Text Analytics

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Author :
Publisher : Springer Nature
ISBN 13 : 3030526801
Total Pages : 298 pages
Book Rating : 4.0/5 (35 download)

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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.

Data Analytics in Digital Humanities

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Author :
Publisher : Springer
ISBN 13 : 3319544993
Total Pages : 295 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Data Analytics in Digital Humanities by : Shalin Hai-Jew

Download or read book Data Analytics in Digital Humanities written by Shalin Hai-Jew and published by Springer. This book was released on 2017-05-03 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers computationally innovative methods and technologies including data collection and elicitation, data processing, data analysis, data visualizations, and data presentation. It explores how digital humanists have harnessed the hypersociality and social technologies, benefited from the open-source sharing not only of data but of code, and made technological capabilities a critical part of humanities work. Chapters are written by researchers from around the world, bringing perspectives from diverse fields and subject areas. The respective authors describe their work, their research, and their learning. Topics include semantic web for cultural heritage valorization, machine learning for parody detection by classification, psychological text analysis, crowdsourcing imagery coding in natural disasters, and creating inheritable digital codebooks.Designed for researchers and academics, this book is suitable for those interested in methodologies and analytics that can be applied in literature, history, philosophy, linguistics, and related disciplines. Professionals such as librarians, archivists, and historians will also find the content informative and instructive.

Corpus Linguistics and Statistics with R

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Author :
Publisher : Springer
ISBN 13 : 3319645722
Total Pages : 353 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Corpus Linguistics and Statistics with R by : Guillaume Desagulier

Download or read book Corpus Linguistics and Statistics with R written by Guillaume Desagulier and published by Springer. This book was released on 2017-11-17 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook examines empirical linguistics from a theoretical linguist’s perspective. It provides both a theoretical discussion of what quantitative corpus linguistics entails and detailed, hands-on, step-by-step instructions to implement the techniques in the field. The statistical methodology and R-based coding from this book teach readers the basic and then more advanced skills to work with large data sets in their linguistics research and studies. Massive data sets are now more than ever the basis for work that ranges from usage-based linguistics to the far reaches of applied linguistics. This book presents much of the methodology in a corpus-based approach. However, the corpus-based methods in this book are also essential components of recent developments in sociolinguistics, historical linguistics, computational linguistics, and psycholinguistics. Material from the book will also be appealing to researchers in digital humanities and the many non-linguistic fields that use textual data analysis and text-based sensorimetrics. Chapters cover topics including corpus processing, frequencing data, and clustering methods. Case studies illustrate each chapter with accompanying data sets, R code, and exercises for use by readers. This book may be used in advanced undergraduate courses, graduate courses, and self-study.

Corpora and Rhetorically Informed Text Analysis

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Author :
Publisher : John Benjamins Publishing Company
ISBN 13 : 9027249806
Total Pages : 302 pages
Book Rating : 4.0/5 (272 download)

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Book Synopsis Corpora and Rhetorically Informed Text Analysis by : David West Brown

Download or read book Corpora and Rhetorically Informed Text Analysis written by David West Brown and published by John Benjamins Publishing Company. This book was released on 2023-06-15 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Corpora and Rhetorically Informed Text Analysis explores applications of rhetorically informed approaches to corpus research. Bringing together contributions from scholars in a variety of fields, it takes up questions of how theories and traditions in rhetorical analysis can be integrated with corpus techniques in order to enrich our understanding of language use, variation, and history. The studies included in this volume shed light on areas as diverse as student academic writing, political discourse, and the digital humanities. These studies all make use of a dictionary-based tagger called DocuScope, which recognizes tens-of-millions of words and phrases and slots them into categories based on their rhetorical functions. While DocuScope provides a through-line that both links the studies’ various analytical procedures and primes their rhetorical insights, the volume is about more than the explanatory power of a single tool. It demonstrates how rhetorically informed approaches can complement more established corpus methodologies, underscoring their combined potential.

Text Analysis with R

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Author :
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.

Corpus Linguistics and Translation Tools for Digital Humanities

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Author :
Publisher : Bloomsbury Publishing
ISBN 13 : 1350275247
Total Pages : 249 pages
Book Rating : 4.3/5 (52 download)

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Book Synopsis Corpus Linguistics and Translation Tools for Digital Humanities by : Stefania M. Maci

Download or read book Corpus Linguistics and Translation Tools for Digital Humanities written by Stefania M. Maci and published by Bloomsbury Publishing. This book was released on 2022-07-14 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting the digital humanities as both a domain of practice and as a set of methodological approaches to be applied to corpus linguistics and translation, chapters in this volume provide a novel and original framework to triangulate research for pursuing both scientific and educational goals within the digital humanities. They also highlight more broadly the importance of data triangulation in corpus linguistics and translation studies. Putting forward practical applications for digging into data, this book is a detailed examination of how to integrate quantitative and qualitative approaches through case studies, sample analysis and practical examples.

Corpus Approaches to Language in Social Media

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Author :
Publisher : Taylor & Francis
ISBN 13 : 100091559X
Total Pages : 254 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Corpus Approaches to Language in Social Media by : Matteo Di Cristofaro

Download or read book Corpus Approaches to Language in Social Media written by Matteo Di Cristofaro and published by Taylor & Francis. This book was released on 2023-08-18 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book showcases the unique possibilities of corpus linguistic methodologies in engaging with and analysing language data from social media, surveying current approaches, and offering guidelines and best practices for doing language analysis. The book provides an overview of how language in social media has been approached by linguists and non-linguists, before delving into the identification of the datasets requirements needed to pursue investigations in social media, and of the technical aspects of particular platforms that may influence the analysis, such as emoticons, retweets, and metadata. Sample Python code, along with general guidelines for using it, is provided to empower researchers to apply these techniques in their own work, supported by actual examples from three real-life case studies. Di Cristofaro highlights the full potential of using these methodologies in analysing social media language data and the ways in which they might pave the way for future applications of data analysis and processing for corpus linguistics. The book will be key reading for researchers in corpus linguistics and linguists and social scientists interested in data-driven analysis of social media.

Composition and Big Data

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Publisher : University of Pittsburgh Press
ISBN 13 : 0822988194
Total Pages : 277 pages
Book Rating : 4.8/5 (229 download)

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Book Synopsis Composition and Big Data by : Amanda Licastro

Download or read book Composition and Big Data written by Amanda Licastro and published by University of Pittsburgh Press. This book was released on 2021-11-02 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a data-driven world, anything can be data. As the techniques and scale of data analysis advance, the need for a response from rhetoric and composition grows ever more pronounced. It is increasingly possible to examine thousands of documents and peer-review comments, labor-hours, and citation networks in composition courses and beyond. Composition and Big Data brings together a range of scholars, teachers, and administrators already working with big-data methods and datasets to kickstart a collective reckoning with the role that algorithmic and computational approaches can, or should, play in research and teaching in the field. Their work takes place in various contexts, including programmatic assessment, first-year pedagogy, stylistics, and learning transfer across the curriculum. From ethical reflections to database design, from corpus linguistics to quantitative autoethnography, these chapters implement and interpret the drive toward data in diverse ways.

Linguistics across Disciplinary Borders

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Publisher : Bloomsbury Publishing
ISBN 13 : 135036228X
Total Pages : 184 pages
Book Rating : 4.3/5 (53 download)

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Book Synopsis Linguistics across Disciplinary Borders by : Steven Coats

Download or read book Linguistics across Disciplinary Borders written by Steven Coats and published by Bloomsbury Publishing. This book was released on 2024-01-11 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume highlights the ways in which recent developments in corpus linguistics and natural language processing can engage with topics across language studies, humanities and social science disciplines. New approaches have emerged in recent years that blur disciplinary boundaries, facilitated by factors such as the application of computational methods, access to large data sets, and the sharing of code, as well as continual advances in technologies related to data storage, retrieval, and processing. The “march of data” denotes an area at the border region of linguistics, humanities, and social science disciplines, but also the inevitable development of the underlying technologies that drive analysis in these subject areas. Organized into 3 sections, the chapters are connected by the underlying thread of linguistic corpora: how they can be created, how they can shed light on varieties or registers, and how their metadata can be utilized to better understand the internal structure of similar resources. While some chapters in the volume make use of well-established existing corpora, others analyze data from platforms such as YouTube, Twitter or Reddit. The volume provides insight into the diversity of methods, approaches, and corpora that inform our understanding of the “border regions” between the realms of data science, language/linguistics, and social or cultural studies.

Digital Humanities Pedagogy

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Author :
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).

Working with Text

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Publisher : Elsevier
ISBN 13 : 1780634307
Total Pages : 344 pages
Book Rating : 4.7/5 (86 download)

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Book Synopsis Working with Text by : Emma Tonkin

Download or read book Working with Text written by Emma Tonkin and published by Elsevier. This book was released on 2016-07-14 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is text mining, and how can it be used? What relevance do these methods have to everyday work in information science and the digital humanities? How does one develop competences in text mining? Working with Text provides a series of cross-disciplinary perspectives on text mining and its applications. As text mining raises legal and ethical issues, the legal background of text mining and the responsibilities of the engineer are discussed in this book. Chapters provide an introduction to the use of the popular GATE text mining package with data drawn from social media, the use of text mining to support semantic search, the development of an authority system to support content tagging, and recent techniques in automatic language evaluation. Focused studies describe text mining on historical texts, automated indexing using constrained vocabularies, and the use of natural language processing to explore the climate science literature. Interviews are included that offer a glimpse into the real-life experience of working within commercial and academic text mining. Introduces text analysis and text mining tools Provides a comprehensive overview of costs and benefits Introduces the topic, making it accessible to a general audience in a variety of fields, including examples from biology, chemistry, sociology, and criminology

From Data to Evidence in English Language Research

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Author :
Publisher : BRILL
ISBN 13 : 9004390650
Total Pages : 368 pages
Book Rating : 4.0/5 (43 download)

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Book Synopsis From Data to Evidence in English Language Research by : Carla Suhr

Download or read book From Data to Evidence in English Language Research written by Carla Suhr and published by BRILL. This book was released on 2019-01-07 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: From Data to Evidence in English Language Research offers new insights into the ways in which developments in linguistic corpora and other digital data sources can be used to extend and re-evaluate research questions in English linguistics.