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  1. Big data in computational social science and humanities
    Beteiligt: Chen, Shu-Heng (HerausgeberIn)
    Erschienen: [2018]; © 2018
    Verlag:  Springer, Cham, Switzerland

    Intro -- Preface -- Contents -- Contributors -- 1 Big Data in Computational Social Sciences and Humanities: An Introduction -- 1.1 Big Data for Computational Social Sciences and Humanities in Practice -- 1.1.1 Geographic Data -- 1.1.2 Text Corpus... mehr

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    Intro -- Preface -- Contents -- Contributors -- 1 Big Data in Computational Social Sciences and Humanities: An Introduction -- 1.1 Big Data for Computational Social Sciences and Humanities in Practice -- 1.1.1 Geographic Data -- 1.1.2 Text Corpus Data -- 1.1.2.1 History in Light of Dynamic Maps -- 1.1.2.2 Economics Paradigm Shift in Light of Corpus Linguistics -- 1.1.2.3 Financial Prediction in Light of Sentiment Analysis -- 1.1.2.4 Network Modeling of Health-Related Concepts and Institutions -- 1.1.2.5 Linguistic Complexity of Shakespeare Plays -- 1.1.2.6 Evolution of "Language" in Light of Corpus Linguistics -- 1.1.3 Social Media Data -- 1.1.3.1 Digital Governance Using Public Opinion Mining -- 1.1.3.2 Grassroots Politics -- 1.2 Survey and Challenges -- 1.2.1 Survey of Published Research -- 1.2.1.1 Big Data Finance -- 1.2.1.2 Big Data in Psychology -- 1.2.1.3 Spatial Humanities -- 1.2.1.4 Cloud Computing -- 1.2.2 Challenges of Using Big Data for Research -- 1.2.2.1 Big Data Complexity -- 1.2.2.2 Big Data Search -- 1.2.2.3 Big Data Simulation -- 1.2.2.4 Big Data Risks -- 1.3 Conclusion and Outlook -- References -- Part I Practice -- 2 Application of Citizen Science and Volunteered Geographic Information (VGI): Tourism Development for Rural Communities -- 2.1 Introduction -- 2.2 Materials and Methods -- 2.2.1 Study Site -- 2.2.2 Volunteered Geographic Information (VGI) -- 2.2.3 Building a Web-Based GIS for Community Resource Management -- 2.3 Results -- 2.3.1 Community Resource Database -- 2.3.2 Creating Virtual Tour Using Google Earth -- 2.3.3 Establishing the Web-Based GIS Platform -- 2.4 Discussion -- 2.5 Conclusions and Recommendations -- References -- 3 Telling Stories Through R: Geo-Temporal Mappings of Epigraphic Practices on Penghu -- 3.1 It Takes a Story to Catch a Fish -- 3.2 From History to Code -- 3.3 Approaching Penghu.

     

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      BibTeX-Format
    Quelle: Verbundkataloge
    Beteiligt: Chen, Shu-Heng (HerausgeberIn)
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9783319954653
    RVK Klassifikation: MR 2200 ; ST 530
    Schriftenreihe: Computational social sciences
    Schlagworte: Big data-Social aspects; Digital humanities; Social sciences-Data processing; Electronic books
    Umfang: 1 Online-Ressource (xiii, 388 Seiten)
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