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  1. Text analysis with R :
    for students of literature /
    Published: [2020].
    Publisher:  Springer,, Cham :

    Freie Universität Berlin, Universitätsbibliothek, Zentralbibliothek
    Unlimited inter-library loan, copies and loan
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    Volltext (URL des Erstveröffentlichers)
    Source: Philologische Bibliothek, FU Berlin
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 978-3-030-39643-5
    Other identifier:
    RVK Categories: EC 1300 ; ES 275 ; ES 940 ; ST 250 ; ST 680
    Edition: Second edition
    Series: Quantitative methods in the humanities and social sciences
    Subjects: Statistics and Computing/Statistics Programs; Computational Linguistics; Statistics for Social Sciences, Humanities, Law; Digital Humanities; Literature and Technology/Media; Computer Appl. in Arts and Humanities; Statistics ; Computational linguistics; Humanities—Digital libraries; Technology in literature; Application software; Textanalyse; R <Programm>
    Scope: 1 Online-Ressource (xxiii, 277 Seiten) :, Illustrationen.
  2. Text analysis with R
    for students of literature
    Published: [2020]
    Publisher:  Springer, Cham

    Universitätsbibliothek Augsburg
    Unlimited inter-library loan, copies and loan
    Universitätsbibliothek Bayreuth
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    Universitätsbibliothek Eichstätt-Ingolstadt
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    Technische Universität München, Universitätsbibliothek
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    Universitätsbibliothek der LMU München
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    Technische Hochschule Nürnberg Georg Simon Ohm, Bibliothek
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    Universitätsbibliothek Passau
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    OTH- Ostbayerische Technische Hochschule Regensburg, Hochschulbibliothek
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    Technische Hochschulbibliothek Rosenheim
    No loan of volumes, only paper copies will be sent
    Hochschule für angewandte Wissenschaften Würzburg-Schweinfurt, Abteilungsbibliothek Schweinfurt
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    Technische Hochschule Würzburg-Schweinfurt Bibliothek
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    Universitätsbibliothek Würzburg
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    Content information
    Volltext (URL des Erstveröffentlichers)
    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783030396435
    Other identifier:
    RVK Categories: EC 1300 ; ES 275 ; ES 940 ; ST 250 ; ST 680
    Edition: Second edition
    Series: Quantitative methods in the humanities and social sciences
    Subjects: Statistics and Computing/Statistics Programs; Computational Linguistics; Statistics for Social Sciences, Humanities, Law; Digital Humanities; Literature and Technology/Media; Computer Appl. in Arts and Humanities; Statistics ; Computational linguistics; Humanities—Digital libraries; Technology in literature; Application software; R <Programm>; Textanalyse
    Scope: 1 Online-Ressource (xxiii, 277 Seiten), Illustrationen
  3. Text analysis with R
    for students of literature
    Published: [2020]; © 2020
    Publisher:  Springer, Cham, Switzerland

    Humboldt-Universität zu Berlin, Universitätsbibliothek, Jacob-und-Wilhelm-Grimm-Zentrum
    Unlimited inter-library loan, copies and loan
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  4. Text analysis with R
    for students of literature
    Published: [2020]
    Publisher:  Springer, Cham

    Freie Universität Berlin, Universitätsbibliothek
    Unlimited inter-library loan, copies and loan
    Hochschule für Technik und Wirtschaft Berlin, Hochschulbibliothek
    Unlimited inter-library loan, copies and loan
    Brandenburgische Technische Universität Cottbus - Senftenberg, Universitätsbibliothek
    Unlimited inter-library loan, copies and loan
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    Content information
    Volltext (URL des Erstveröffentlichers)
    Source: Philologische Bibliothek, FU Berlin
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783030396435
    Other identifier:
    RVK Categories: EC 1300 ; ES 275 ; ES 940 ; ST 250 ; ST 680
    Edition: Second edition
    Series: Quantitative methods in the humanities and social sciences
    Subjects: Statistics and Computing/Statistics Programs; Computational Linguistics; Statistics for Social Sciences, Humanities, Law; Digital Humanities; Literature and Technology/Media; Computer Appl. in Arts and Humanities; Statistics ; Computational linguistics; Humanities—Digital libraries; Technology in literature; Application software; R <Programm>; Textanalyse
    Scope: 1 Online-Ressource (xxiii, 277 Seiten), Illustrationen
  5. Text analysis with R :
    for students of literature /
    Published: [2020].
    Publisher:  Springer,, Cham :

    Freie Universität Berlin, Universitätsbibliothek, Zentralbibliothek
    Unlimited inter-library loan, copies and loan
    Hochschule für Technik und Wirtschaft Berlin, Hochschulbibliothek
    Unlimited inter-library loan, copies and loan
    Brandenburgische Technische Universität Cottbus - Senftenberg, Universitätsbibliothek
    Unlimited inter-library loan, copies and loan
    Export to reference management software   RIS file
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    Content information
    Volltext (URL des Erstveröffentlichers)
    Volltext (URL des Erstveröffentlichers)
    Source: Philologische Bibliothek, FU Berlin
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 978-3-030-39643-5
    Other identifier:
    RVK Categories: EC 1300 ; ES 275 ; ES 940 ; ST 250 ; ST 680
    Edition: Second edition
    Series: Quantitative methods in the humanities and social sciences
    Subjects: Statistics and Computing/Statistics Programs; Computational Linguistics; Statistics for Social Sciences, Humanities, Law; Digital Humanities; Literature and Technology/Media; Computer Appl. in Arts and Humanities; Statistics ; Computational linguistics; Humanities—Digital libraries; Technology in literature; Application software; Textanalyse; R <Programm>
    Scope: 1 Online-Ressource (xxiii, 277 Seiten) :, Illustrationen.
  6. Text Analysis with R
    For Students of Literature
    Published: 2020
    Publisher:  Springer International Publishing, Cham ; Imprint: Springer

    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... more

     

    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

     

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    Content information
    Source: Union catalogues
    Language: English
    Media type: Ebook; Data medium
    Format: Online
    ISBN: 9783030396435
    Other identifier:
    Edition: 2nd ed. 2020
    Series: Quantitative Methods in the Humanities and Social Sciences
    Subjects: Statistics ; Computational linguistics; Humanities—Digital libraries; Technology in literature; Application software; Statistics and Computing/Statistics Programs; Computational Linguistics; Statistics for Social Sciences, Humanities, Law; Digital Humanities; Literature and Technology/Media; Computer Appl. in Arts and Humanities
    Scope: 1 Online-Ressource (XXIV, 276 Seiten), 33 Illustrationen, 12 Illustrationen
    Notes:

    Part I Microanalysis -- 1 R Basics -- 2 First Foray into Text Analysis with R -- 3 Accessing and Comparing Word Frequency Data -- 4 Token Distribution and Regular Expressions -- 5 Token Distribution Analysis by Chapter -- 6 Correlation -- 7 Measures of Lexical Variety -- 8 Hapax Richness -- 9 Do it KWIC -- 10 Do it KWIC(er) (And Better) -- Part II Metadata -- 11 Introduction to dplyr -- 12 Parsing TEI XML- 13 Parsing and Analyzing Hamlet -- 14 Sentiment Analysis -- Part III Macroanalysis -- 15 Clustering -- 16 Classification -- 17 Topic Modeling -- 18 Part of Speech Tagging and Named Entity Recognition -- Appendices -- Index -- List of Tables -- List of Figures

  7. Text analysis with R :
    for students of literature /
    Published: [2020].; © 2020.
    Publisher:  Springer,, Cham, Switzerland :

    Humboldt-Universität zu Berlin, Universitätsbibliothek, Jacob-und-Wilhelm-Grimm-Zentrum
    Unlimited inter-library loan, copies and loan
    Export to reference management software   RIS file
      BibTeX file
  8. Text analysis with R :
    for students of literature /
    Published: [2020].
    Publisher:  Springer,, Cham :

    Export to reference management software   RIS file
      BibTeX file
    Content information
    Volltext (URL des Erstveröffentlichers)
    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 978-3-030-39643-5
    Other identifier:
    RVK Categories: EC 1300 ; ES 275 ; ES 940 ; ST 250 ; ST 680
    Edition: Second edition
    Series: Quantitative methods in the humanities and social sciences
    Subjects: Statistics and Computing/Statistics Programs; Computational Linguistics; Statistics for Social Sciences, Humanities, Law; Digital Humanities; Literature and Technology/Media; Computer Appl. in Arts and Humanities; Statistics ; Computational linguistics; Humanities—Digital libraries; Technology in literature; Application software; Textanalyse; R <Programm>
    Scope: 1 Online-Ressource (xxiii, 277 Seiten) :, Illustrationen.