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Displaying results 1 to 7 of 7.

  1. Sometimes Hard, Usually Soft : The Future of Knowledge Systems
    Contributor: Golding, Johnny (Publisher); Paganelli, Mattia (Publisher); Reinhart, Martin (Publisher)
    Published: 2020
    Publisher:  De Gruyter, Berlin/Boston

    As an urgent response to the continually growing flood of information to which libraries, search engines, and cultural institutions are exposed, Data Loam combines radical approaches and strategies from the international practice of contemporary art... more

     

    As an urgent response to the continually growing flood of information to which libraries, search engines, and cultural institutions are exposed, Data Loam combines radical approaches and strategies from the international practice of contemporary art in essays on artificial intelligence, cybernetics, and cryptoeconomics that put forward sensual logic, causal permeability, and new forms of man–machine interaction.

     
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  2. Data Visualization in Society
    Author: Engebretsen, Martin; Kennedy, Helen
    Published: 2020

    Today we are witnessing an increased use of data visualization in society. Across domains such as work, education and the news, various forms of graphs, charts and maps are used to explain, convince and tell stories. In an era in which more and more... more

     

    Today we are witnessing an increased use of data visualization in society. Across domains such as work, education and the news, various forms of graphs, charts and maps are used to explain, convince and tell stories. In an era in which more and more data are produced and circulated digitally, and digital tools make visualization production increasingly accessible, it is important to study the conditions under which such visual texts are generated, disseminated and thought to be of societal benefit. This book is a contribution to the multi-disciplined and multi-faceted conversation concerning the forms, uses and roles of data visualization in society. Do data visualizations do 'good' or 'bad'? Do they promote understanding and engagement, or do they do ideological work, privileging certain views of the world over others? The contributions in the book engage with these core questions from a range of disciplinary perspectives.

     
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    Source: OAPEN
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9789463722902
    Other identifier:
    Subjects: Data analysis: general; Media studies; Information visualization
    Other subjects: Media studies; information; visualization; data analysis
    Scope: 1 electronic resource (441 p.)
  3. <<The>> trouble with big data
    how datafication displaces cultural practices
    Author: Edmond, Jennifer; Horsley, Nicola; Lehmann, Jörg; Priddy, Mike
    Published: 2022
    Publisher:  Bloomsbury Academic, London

    "This book is available as open access through the Bloomsbury Open programme and is available on www.bloomsburycollections.com. It is funded by Trinity College Dublin, DARIAH-EU and the European Commission. This book explores the challenges society... more

     

    "This book is available as open access through the Bloomsbury Open programme and is available on www.bloomsburycollections.com. It is funded by Trinity College Dublin, DARIAH-EU and the European Commission. This book explores the challenges society faces with big data, through the lens of culture rather than social, political or economic trends, as demonstrated in the words we use, the values that underpin our interactions, the biases and assumptions that drive us. Focusing on areas such as data and language, data and sensemaking, data and power, data and invisibility, and big data aggregation, it demonstrates that humanities research, focusing on cultural rather than social, political or economic frames of reference for viewing technology, resists mass datafication for a reason, and that those very reasons can be instructive for the critical observation of big data research and innovation."--

     
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    Content information
    Volltext (kostenfrei)
    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9781350239630; 9781350239647; 9781350239654
    Other identifier:
    Series: Bloomsbury studies in digital cultures
    Subjects: Humanities; Culture; Digital humanities; Big data; Big data; Data analysis: general
    Scope: 1 Online-Ressource (x, 182 Seiten)
    Notes:

    Online-Erscheinungsdatum laut Landingpage: 13 December 2021
  4. The trouble with big data
    how datafication displaces cultural practices
    Author: Edmond, Jennifer; Horsley, Nicola; Lehmann, Jörg; Priddy, Mike
    Published: 2021
    Publisher:  Bloomsbury Publishing, London

    Introduction -- Chapter 1: Data and language -- Chapter 2: Data and sensemaking -- Chapter 3: Data and invisibility -- Chapter 4: Big data and the abyss of aggregation -- Chapter 5: Data and power -- Conclusion. "This book is available as open access... more

    Access:
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    Location:
    Max-Planck-Institut für Bildungsforschung, Bibliothek und wissenschaftliche Information
    Inter-library loan:
    Unlimited inter-library loan, copies and loan

    Location:
    Staatsbibliothek zu Berlin - Preußischer Kulturbesitz, Haus Unter den Linden
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    Location:
    Universität Potsdam, Universitätsbibliothek
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    Introduction -- Chapter 1: Data and language -- Chapter 2: Data and sensemaking -- Chapter 3: Data and invisibility -- Chapter 4: Big data and the abyss of aggregation -- Chapter 5: Data and power -- Conclusion. "This book is available as open access through the Bloomsbury Open programme and is available on www.bloomsburycollections.com. It is funded by Trinity College Dublin, DARIAH-EU and the European Commission. This book explores the challenges society faces with big data, through the lens of culture rather than social, political or economic trends, as demonstrated in the words we use, the values that underpin our interactions, the biases and assumptions that drive us. Focusing on areas such as data and language, data and sensemaking, data and power, data and invisibility, and big data aggregation, it demonstrates that humanities research, focusing on cultural rather than social, political or economic frames of reference for viewing technology, resists mass datafication for a reason, and that those very reasons can be instructive for the critical observation of big data research and innovation."--

     
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    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9781350239654; 9781350239630; 9781350239647
    Other identifier:
    Series: Bloomsbury Studies in Digital Cultures
    Subjects: Humanities; Culture; Digital humanities; Big data; Big data; Data analysis: general
    Scope: 1 Online-Ressource (1 online resource)
    Notes:

    Includes bibliographical references and index

    Also issued in print: Bloomsbury Academic, 2021.
  5. 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

    Access:
    Resolving-System (lizenzpflichtig)

    Location:
    Staatsbibliothek zu Berlin - Preußischer Kulturbesitz, Haus Unter den Linden
    Inter-library loan:
    Unlimited inter-library loan, copies and loan

    Location:
    Universität Potsdam, Universitätsbibliothek
    Inter-library loan:
    Unlimited inter-library loan, copies and loan

     

    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
  6. The trouble with big data
    how datafication displaces cultural practices
    Author: Edmond, Jennifer; Horsley, Nicola; Lehmann, Jörg; Priddy, Mike
    Published: 2021
    Publisher:  Bloomsbury Publishing, London

    Introduction -- Chapter 1: Data and language -- Chapter 2: Data and sensemaking -- Chapter 3: Data and invisibility -- Chapter 4: Big data and the abyss of aggregation -- Chapter 5: Data and power -- Conclusion. "This book is available as open access... more

    Access:
    Resolving-System (kostenfrei)

    Location:
    Max-Planck-Institut für Bildungsforschung, Bibliothek und wissenschaftliche Information
    Inter-library loan:
    No inter-library loan

    Location:
    Staatsbibliothek zu Berlin - Preußischer Kulturbesitz, Haus Potsdamer Straße
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    Staats- und Universitätsbibliothek Bremen
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    Introduction -- Chapter 1: Data and language -- Chapter 2: Data and sensemaking -- Chapter 3: Data and invisibility -- Chapter 4: Big data and the abyss of aggregation -- Chapter 5: Data and power -- Conclusion. "This book is available as open access through the Bloomsbury Open programme and is available on www.bloomsburycollections.com. It is funded by Trinity College Dublin, DARIAH-EU and the European Commission. This book explores the challenges society faces with big data, through the lens of culture rather than social, political or economic trends, as demonstrated in the words we use, the values that underpin our interactions, the biases and assumptions that drive us. Focusing on areas such as data and language, data and sensemaking, data and power, data and invisibility, and big data aggregation, it demonstrates that humanities research, focusing on cultural rather than social, political or economic frames of reference for viewing technology, resists mass datafication for a reason, and that those very reasons can be instructive for the critical observation of big data research and innovation."--

     
    Export to reference management software   RIS file
      BibTeX file
    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9781350239654; 9781350239630; 9781350239647
    Other identifier:
    Series: Bloomsbury Studies in Digital Cultures
    Subjects: Humanities; Culture; Digital humanities; Big data; Big data; Data analysis: general
    Scope: 1 Online-Ressource (1 online resource)
    Notes:

    Includes bibliographical references and index

    Also issued in print: Bloomsbury Academic, 2021.
  7. 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

    Access:
    Resolving-System (lizenzpflichtig)

    Location:
    Staatsbibliothek zu Berlin - Preußischer Kulturbesitz, Haus Potsdamer Straße
    Inter-library loan:
    No inter-library loan

    Location:
    Universitäts- und Landesbibliothek Sachsen-Anhalt / Zentrale
    Inter-library loan:
    No inter-library loan

    Location:
    Universität Potsdam, Universitätsbibliothek
    Inter-library loan:
    No inter-library loan

     

    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

     
    Export to reference management software   RIS file
      BibTeX file
    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