Data Analytics in Digital Humanities

  • Shalin Hai-Jew

Part of the Multimedia Systems and Applications book series (MMSA)

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Design of Representational Systems

    1. Front Matter
      Pages 1-1
    2. Giorgia Lodi, Luigi Asprino, Andrea Giovanni Nuzzolese, Valentina Presutti, Aldo Gangemi, Diego Reforgiato Recupero et al.
      Pages 3-37
  3. Text Capture and Textual Exploration

    1. Front Matter
      Pages 65-65
    2. Joshua L. Weese, William H. Hsu, Jessica C. Murphy, Kim Brillante Knight
      Pages 67-89
    3. Michael Percillier
      Pages 91-118
  4. Engaging Social Data

  5. Applied Technologies for Data Analytics

  6. Sense-Making in the World

  7. Support for Digital Humanities Work

About this book

Introduction

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.  


Keywords

Data analytics Digital humanities Literary corpora Narratives Sentiment analysis Cultural heritage semantics LIWC2015 Machine parody detection Related tags networks Inheritable digital codebooks Library science in DH

Editors and affiliations

  • Shalin Hai-Jew
    • 1
  1. 1.Kansas State UniversityManhattanUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-54499-1
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-54498-4
  • Online ISBN 978-3-319-54499-1
  • About this book