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  1. Statistics for Linguistics with R
    A Practical Introduction
    Author: Gries, Stefan Th.
    Published: [2013]; ©2013
    Publisher:  De Gruyter Mouton, Berlin ; Boston

    This book is the revised and extended second edition of Statistics for Linguistics with R. The volume is an introduction to statistics for linguists using the open source software R. It is aimed at students and instructors/professors with little or... more

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    This book is the revised and extended second edition of Statistics for Linguistics with R. The volume is an introduction to statistics for linguists using the open source software R. It is aimed at students and instructors/professors with little or no statistical background and is written in a non-technical and reader-friendly/accessible style. It first introduces in detail the overall logic underlying quantitative studies: exploration, hypothesis formulation and operationalization, and the notion and meaning of significance tests. It then introduces some basics of the software R relevant to statistical data analysis. A chapter on descriptive statistics explains how summary statistics for frequencies, averages, and correlations are generated with R and how they are graphically represented best.- A chapter on analytical statistics explains how statistical tests are performed in R on the basis of many different linguistic case studies: For nearly every single example, it is explained what the structure of the test looks like, how hypotheses are formulated, explored, and tested for statistical significance, how the results are graphically represented, and how one would summarize them in a paper/article. A chapter on selected multifactorial methods introduces how more complex research designs can be studied: methods for the study of multifactorial frequency data, correlations, tests for means, and binary response data are discussed and exemplified step-by-step. Also, the exploratory approach of hierarchical cluster analysis is illustrated in detail. The book comes with many exercises, boxes with short think breaks and warnings, recommendations for further study, and answer keys as well as a statistics for linguists newsgroup on the companion website.- Just like the first edition, it is aimed at students, faculty, and researchers with little or no statistical background in statistics or the open source programming language R. It avoids mathematical jargon and discusses the logic and structure of quantitative studies and introduces descriptive statistics as well as a range of monofactorial statistical tests for frequencies, distributions, means, dispersions, and correlations.-

     
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    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783110307474
    Other identifier:
    RVK Categories: ES 250
    Edition: 2nd rev. ed
    Series: Mouton Textbook
    Other subjects: Linguistics / Statistical methods; R (Computer program language); Corpus Linguistics; Korpuslinguistik; Linguistic Data; Linguistische Datenverarbeitung; Statistic Analysis; Statistische Analyse; Digital Humanities; LANGUAGE ARTS & DISCIPLINES / Linguistics / General
    Scope: 1 online resource (372 p.)
  2. Humanities Data in R
    Exploring Networks, Geospatial Data, Images, and Text
    Author: Arnold, Taylor; Tilton, Lauren
    Published: [2015]; © 2015
    Publisher:  Springer, Cham

    This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods,... more

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    This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods, individual and collaborative work, and the humanities and social scientists. Exploring Humanities Data Types with R does not presuppose background programming experience. Early chapters take readers from R set-up to exploratory data analysis (continuous and categorical data, multivariate analysis, and advanced graphics with emphasis on aesthetics and facility). Everything is hands-on: networks are explained using U.S. Supreme Court opinions, and low-level NLP methods are applied to short stories by Sir Arthur Conan Doyle. The book’s data, code, appendix with 100 basic programming exercises and solutions, and dedicated website are valuable resources for readers. The methodology will have wide application in classrooms and self-study for the humanities, but also for use in linguistics, anthropology, and political science. Outside the classroom, this intersection of humanities and computing is particularly relevant for research and new modes of dissemination across archives, museums and libraries

     
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    Volltext (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783319207025
    Other identifier:
    RVK Categories: ST 601 ; ST 250
    Edition: 1st ed. 2015
    Series: Quantitative Methods in the Humanities and Social Sciences
    Subjects: Statistics; Application software; Computational linguistics; Anthropology; Social sciences; Humanities; Linguistique; Mathematical statistics; Statistical methods; Informatique; Data processing; Progiciels; R (Computer program language); R (Langage de programmation); Sciences humaines; Sciences sociales; Méthodes statistiques; Statistique; Statistique mathématique
    Scope: 1 Online-Ressource (XIII, 211 Seiten), 50 Illustrationen (33 in Farbe)
    Notes:

    Set-upA Short Introduction to R -- EDA I Continuous and Categorical Data -- EDA II Multivariate Analysis -- EDA III Advanced Graphics -- Networks -- Geospatial Data -- Image Data -- Natural Language Processing -- Text Analysis -- Appendix.
  3. Humanities data in R
    exploring networks, geospatial data, images, and text
    Author: Arnold, Taylor; Tilton, Lauren
    Published: [2015]; © 2015
    Publisher:  Springer, Cham ; Heidelberg ; New York ; Dordrecht ; London

    "This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods,... more

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    "This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods, individual and collaborative work, and the humanities and social scientists. Exploring Humanities Data Types with R does not presuppose background programming experience. Early chapters take readers from R set-up to exploratory data analysis (continuous and categorical data, multivariate analysis, and advanced graphics with emphasis on aesthetics and facility). Everything is hands-on: networks are explained using U.S. Supreme Court opinions, and low-level NLP methods are applied to short stories by Sir Arthur Conan Doyle. The book?s data, code, appendix with 100 basic programming exercises and solutions, and dedicated website are valuable resources for readers. The methodology will have wide application in classrooms and self-study for the humanities, but also for use in linguistics, anthropology, and political science. Outside the classroom, this intersection of humanities and computing is particularly relevant for research and new modes of dissemination across archives, museums and libraries."--Page 4 de la couverture

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    ISBN: 9783319207018; 9783319366715
    RVK Categories: ST 601 ; ST 250 ; ES 275 ; AK 39950
    Series: Quantitative methods in the humanities and social sciences
    Subjects: Raumdaten; Netzwerkanalyse <Soziologie>; Digital Humanities; Quantitative Bildanalyse; R <Programm>; Sprachanalyse
    Other subjects: Statistique; Progiciels; Linguistique / Informatique; Sciences sociales; Humanities / Statistical methods / Data processing; Sciences humaines / Méthodes statistiques / Informatique; Mathematical statistics; Statistique mathématique; R (Computer program language); R (Langage de programmation); Mathematical statistics; R (Computer program language)
    Scope: xiii, 211 Seiten, Illustrationen, Diagramme, Karten
    Notes:

    Set-up -- A Short Introduction to R -- EDA I Continuous and Categorical Data -- EDA II Multivariate Analysis -- EDA III Advanced Graphics -- Networks -- Geospatial Data -- Image Data -- Natural Language Processing -- Text Analysis -- Appendix
  4. Humanities Data in R
    Exploring Networks, Geospatial Data, Images, and Text
    Author: Arnold, Taylor; Tilton, Lauren
    Published: [2015]; © 2015
    Publisher:  Springer, Cham

    This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods,... more

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    Universität Potsdam, Universitätsbibliothek
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    Unlimited inter-library loan, copies and loan

     

    This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods, individual and collaborative work, and the humanities and social scientists. Exploring Humanities Data Types with R does not presuppose background programming experience. Early chapters take readers from R set-up to exploratory data analysis (continuous and categorical data, multivariate analysis, and advanced graphics with emphasis on aesthetics and facility). Everything is hands-on: networks are explained using U.S. Supreme Court opinions, and low-level NLP methods are applied to short stories by Sir Arthur Conan Doyle. The book’s data, code, appendix with 100 basic programming exercises and solutions, and dedicated website are valuable resources for readers. The methodology will have wide application in classrooms and self-study for the humanities, but also for use in linguistics, anthropology, and political science. Outside the classroom, this intersection of humanities and computing is particularly relevant for research and new modes of dissemination across archives, museums and libraries

     
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    Volltext (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783319207025
    Other identifier:
    RVK Categories: ST 601 ; ST 250
    Edition: 1st ed. 2015
    Series: Quantitative Methods in the Humanities and Social Sciences
    Subjects: Statistics; Application software; Computational linguistics; Anthropology; Social sciences; Humanities; Linguistique; Mathematical statistics; Statistical methods; Informatique; Data processing; Progiciels; R (Computer program language); R (Langage de programmation); Sciences humaines; Sciences sociales; Méthodes statistiques; Statistique; Statistique mathématique
    Scope: 1 Online-Ressource (XIII, 211 Seiten), 50 Illustrationen (33 in Farbe)
    Notes:

    Set-upA Short Introduction to R -- EDA I Continuous and Categorical Data -- EDA II Multivariate Analysis -- EDA III Advanced Graphics -- Networks -- Geospatial Data -- Image Data -- Natural Language Processing -- Text Analysis -- Appendix.
  5. Humanities data in R
    exploring networks, geospatial data, images, and text
    Author: Arnold, Taylor; Tilton, Lauren
    Published: [2015]; © 2015
    Publisher:  Springer, Cham ; Heidelberg ; New York ; Dordrecht ; London

    "This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods,... more

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    Freie Universität Berlin, Universitätsbibliothek
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    "This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods, individual and collaborative work, and the humanities and social scientists. Exploring Humanities Data Types with R does not presuppose background programming experience. Early chapters take readers from R set-up to exploratory data analysis (continuous and categorical data, multivariate analysis, and advanced graphics with emphasis on aesthetics and facility). Everything is hands-on: networks are explained using U.S. Supreme Court opinions, and low-level NLP methods are applied to short stories by Sir Arthur Conan Doyle. The book?s data, code, appendix with 100 basic programming exercises and solutions, and dedicated website are valuable resources for readers. The methodology will have wide application in classrooms and self-study for the humanities, but also for use in linguistics, anthropology, and political science. Outside the classroom, this intersection of humanities and computing is particularly relevant for research and new modes of dissemination across archives, museums and libraries."--Page 4 de la couverture

     
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    Source: Philologische Bibliothek, FU Berlin
    Language: English
    Media type: Book
    ISBN: 9783319207018; 9783319366715
    RVK Categories: ST 601 ; ST 250 ; ES 275 ; AK 39950
    Series: Quantitative methods in the humanities and social sciences
    Subjects: Raumdaten; Netzwerkanalyse <Soziologie>; Digital Humanities; Quantitative Bildanalyse; R <Programm>; Sprachanalyse
    Other subjects: Statistique; Progiciels; Linguistique / Informatique; Sciences sociales; Humanities / Statistical methods / Data processing; Sciences humaines / Méthodes statistiques / Informatique; Mathematical statistics; Statistique mathématique; R (Computer program language); R (Langage de programmation); Mathematical statistics; R (Computer program language)
    Scope: xiii, 211 Seiten, Illustrationen, Diagramme, Karten
    Notes:

    Set-up -- A Short Introduction to R -- EDA I Continuous and Categorical Data -- EDA II Multivariate Analysis -- EDA III Advanced Graphics -- Networks -- Geospatial Data -- Image Data -- Natural Language Processing -- Text Analysis -- Appendix
  6. Statistics for Linguistics with R
    A Practical Introduction
    Author: Gries, Stefan Thomas
    Published: 2013
    Publisher:  De Gruyter, Berlin

    Biographical note: Stefan Th. Gries, University of California, Santa Barbara, USA. This book is the revised and extended second edition of Statistics for Linguistics with R. The comprehensive revision includes new small sections on programming topics... more

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    Biographical note: Stefan Th. Gries, University of California, Santa Barbara, USA. This book is the revised and extended second edition of Statistics for Linguistics with R. The comprehensive revision includes new small sections on programming topics that facilitate statistical analysis, the addition of a variety of statistical functions readers can apply to their own data, and a revision of overview sections on statistical tests and regression modeling. The main revision is a complete rewrite of the chapter on multifactorial approaches, which now contains sections on linear regression, binary and ordinal logistic regression, multinomial and Poisson regression, and repeated-measures ANOVA.The revisions are completed by a new visual tool to identify the right statistical test for a given problem and data set. Review text: "Gries has diligently compiled a work of great use and interest. It is relevant above all to linguistic students and researchers, and can readily act as a textbook for taught courses. It should be noted that the book is equally useful as a reference guide, with the analysis scenarios sufficiently well labeled and organized so that the reader can dip into it as and when necessary, or as a complete set of exercises which the reader can work through section by section." Andrew Caines in: Linguist List 22.412

     
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    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783110307474
    Other identifier:
    RVK Categories: ES 275
    Edition: 2. rev. ed.
    Series: Mouton Textbook
    Subjects: Linguistics; R (Computer program language); R (Computer program language); Digital Humanities; LANGUAGE ARTS & DISCIPLINES / Linguistics / General
    Scope: Online-Ressource (XIII, 359 S.)
  7. Humanities Data in R
    Exploring Networks, Geospatial Data, Images, and Text
    Author: Arnold, Taylor
    Published: 2015
    Publisher:  Springer, Cham

    Set-up -- A Short Introduction to R -- EDA I Continuous and Categorical Data -- EDA II Multivariate Analysis -- EDA III Advanced Graphics -- Networks -- Geospatial Data -- Image Data -- Natural Language Processing -- Text Analysis -- Appendix This... more

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    Set-up -- A Short Introduction to R -- EDA I Continuous and Categorical Data -- EDA II Multivariate Analysis -- EDA III Advanced Graphics -- Networks -- Geospatial Data -- Image Data -- Natural Language Processing -- Text Analysis -- Appendix This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods, individual and collaborative work, and the humanities and social scientists. Exploring Humanities Data Types with R does not presuppose background programming experience. Early chapters take readers from R set-up to exploratory data analysis (continuous and categorical data, multivariate analysis, and advanced graphics with emphasis on aesthetics and facility). Everything is hands-on: networks are explained using U.S. Supreme Court opinions, and low-level NLP methods are applied to short stories by Sir Arthur Conan Doyle. The book’s data, code, appendix with 100 basic programming exercises and solutions, and dedicated website are valuable resources for readers. The methodology will have wide application in classrooms and self-study for the humanities, but also for use in linguistics, anthropology, and political science. Outside the classroom, this intersection of humanities and computing is particularly relevant for research and new modes of dissemination across archives, museums and libraries

     
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    Content information
    Volltext (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783319207025
    Other identifier:
    RVK Categories: ST 250 ; ST 601
    Edition: 1st ed. 2015
    Series: Quantitative Methods in the Humanities and Social Sciences
    Array
    Subjects: Mathematical statistics; Information systems; Application software; Statistics; Computational linguistics; Anthropology; Social sciences; Statistics; Application software; Computational linguistics; Anthropology; Social sciences; Humanities; Linguistique; Mathematical statistics; Statistical methods; Informatique; Data processing; Progiciels; R (Computer program language); R (Langage de programmation); Sciences humaines; Sciences sociales; Méthodes statistiques; Statistique; Statistique mathématique
    Scope: Online-Ressource (XIII, 211 p. 50 illus., 33 illus. in color, online resource)
    Notes:

    Set-upA Short Introduction to R -- EDA I Continuous and Categorical Data -- EDA II Multivariate Analysis -- EDA III Advanced Graphics -- Networks -- Geospatial Data -- Image Data -- Natural Language Processing -- Text Analysis -- Appendix.
  8. Text Analytics for Corpus Linguistics and Digital Humanities
    Simple R Scripts and Tools
    Author: Schneider, Gerold
    Published: 2024
    Publisher:  Bloomsbury Academic, London ; Bloomsbury Publishing (UK)

    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... more

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    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

     
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    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9781350370852
    Other identifier:
    Edition: 1st ed
    Series: Language, Data Science and Digital Humanities
    Subjects: Corpora (Linguistics); Digital humanities; R (Computer program language); Computational linguistics; Data analysis: general; linguistics
    Scope: 1 Online-Ressource (224 pages)
    Notes:

    Includes bibliographical references and index

    List of Figures List of Tables Acknowledgements 1. Introduction 2. Spikes of Frequencies and First Steps in UNIX 3. Frequency Lists and First Steps in R 4. Overuse and Keywords and Using R Libraries 5. Document Classification and Supervised ML in LightSide and R 6. Topic Modelling and Unsupervised ML with Mallet and R 7. Kernel Density Estimation for Conceptual Maps 8. Distributional Semantics 9. BERT Models 10. Conclusions References Index
  9. Statistics for linguistics with R
    a practical introduction
    Author: Gries, Stefan Thomas
    Published: 2013
    Publisher:  De Gruyter Mouton, Berlin [u.a.]

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    Content information
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9783110307283; 3110307286
    RVK Categories: ES 275 ; ES 250 ; ES 270 ; ER 765 ; ST 306
    Edition: 2., rev. ed.
    Series: Textbook
    Subjects: Linguistics; R (Computer program language); Digital Humanities
    Scope: XIII, 359 S., Ill., graph. Darst.
    Notes:

    Literaturangaben
  10. Text Analytics for Corpus Linguistics and Digital Humanities
    Simple R Scripts and Tools
    Author: Schneider, Gerold
    Published: 2024
    Publisher:  Bloomsbury Academic, London ; Bloomsbury Publishing (UK)

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    Source: Union catalogues
    Language: English
    Media type: Book
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    Edition: 1st ed
    Series: Language, Data Science and Digital Humanities
    Subjects: Corpora (Linguistics); Digital humanities; R (Computer program language); Computational linguistics; Data analysis: general; linguistics
    Scope: 1 online resource (224 pages)
  11. Humanities Data in R
    Exploring Networks, Geospatial Data, Images, and Text
    Published: 2015
    Publisher:  Springer, Cham

    Set-up -- A Short Introduction to R -- EDA I Continuous and Categorical Data -- EDA II Multivariate Analysis -- EDA III Advanced Graphics -- Networks -- Geospatial Data -- Image Data -- Natural Language Processing -- Text Analysis -- Appendix This... more

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    Set-up -- A Short Introduction to R -- EDA I Continuous and Categorical Data -- EDA II Multivariate Analysis -- EDA III Advanced Graphics -- Networks -- Geospatial Data -- Image Data -- Natural Language Processing -- Text Analysis -- Appendix This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods, individual and collaborative work, and the humanities and social scientists. Exploring Humanities Data Types with R does not presuppose background programming experience. Early chapters take readers from R set-up to exploratory data analysis (continuous and categorical data, multivariate analysis, and advanced graphics with emphasis on aesthetics and facility). Everything is hands-on: networks are explained using U.S. Supreme Court opinions, and low-level NLP methods are applied to short stories by Sir Arthur Conan Doyle. The book’s data, code, appendix with 100 basic programming exercises and solutions, and dedicated website are valuable resources for readers. The methodology will have wide application in classrooms and self-study for the humanities, but also for use in linguistics, anthropology, and political science. Outside the classroom, this intersection of humanities and computing is particularly relevant for research and new modes of dissemination across archives, museums and libraries

     
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    Volltext (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783319207025
    Other identifier:
    RVK Categories: ST 250 ; ST 601
    Edition: 1st ed. 2015
    Series: Quantitative Methods in the Humanities and Social Sciences
    Array
    Subjects: Mathematical statistics; Information systems; Application software; Statistics; Computational linguistics; Anthropology; Social sciences; Statistics; Application software; Computational linguistics; Anthropology; Social sciences; Humanities; Linguistique; Mathematical statistics; Statistical methods; Informatique; Data processing; Progiciels; R (Computer program language); R (Langage de programmation); Sciences humaines; Sciences sociales; Méthodes statistiques; Statistique; Statistique mathématique
    Scope: Online-Ressource (XIII, 211 p. 50 illus., 33 illus. in color, online resource)
    Notes:

    Set-upA Short Introduction to R -- EDA I Continuous and Categorical Data -- EDA II Multivariate Analysis -- EDA III Advanced Graphics -- Networks -- Geospatial Data -- Image Data -- Natural Language Processing -- Text Analysis -- Appendix.
  12. Humanities data in R
    exploring networks , geospatial data, images, and text
    Author: Tilton, Lauren; Arnold, Taylor
    Published: 2015
    Publisher:  Springer, Cham

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    Content information
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9783319207018
    Other identifier:
    9783319207018
    RVK Categories: ES 275 ; ST 601 ; ST 250
    Series: Quantitative methods in the humanities and social sciences
    Subjects: Humanities; Linguistique; Mathematical statistics; Statistical methods; Informatique; Data processing; Mathematical statistics; Progiciels; R (Computer program language); R (Computer program language); R (Langage de programmation); Sciences humaines; Sciences sociales; Méthodes statistiques; Statistique; Informatique; Statistique mathématique
    Scope: XIII, 211 S., Ill., graph. Darst., Kt.
    Notes:

    Literaturangaben

    Hier auch später erschienene, unveränderte Nachdrucke
  13. Text Analytics for Corpus Linguistics and Digital Humanities
    Simple R Scripts and Tools
    Author: Schneider, Gerold
    Published: 2024
    Publisher:  Bloomsbury Academic, London ; Bloomsbury Publishing (UK)

    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... more

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    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

     
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    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9781350370852
    Other identifier:
    Edition: 1st ed
    Series: Language, Data Science and Digital Humanities
    Subjects: Corpora (Linguistics); Digital humanities; R (Computer program language); Computational linguistics; Data analysis: general; linguistics
    Scope: 1 Online-Ressource (224 pages)
    Notes:

    Includes bibliographical references and index

    List of Figures List of Tables Acknowledgements 1. Introduction 2. Spikes of Frequencies and First Steps in UNIX 3. Frequency Lists and First Steps in R 4. Overuse and Keywords and Using R Libraries 5. Document Classification and Supervised ML in LightSide and R 6. Topic Modelling and Unsupervised ML with Mallet and R 7. Kernel Density Estimation for Conceptual Maps 8. Distributional Semantics 9. BERT Models 10. Conclusions References Index