Data Analytics in Digital Humanities

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.

Table of Contents

Part I Design of Representational Systems
Chapter 1 Semantic Web For Cultural Heritage Valorisation
Chapter 2 Using The Formal Representations Of “Elementary Events” To Set Up Computational Models Of Full “Narratives”

Part II Text Capture and Textual Exploration
Chapter 3 Parody Detection: An Annotation, Feature Construction, And Classification Approach To The Web Of Parody
Chapter 4 Creating And Analyzing Literary Corpora

Part III Engaging Social Data
Chapter 5 Content And Sentiment Analysis On Online Social Networks (Osns)
Chapter 6 The Role Of Data In The Evaluation Of Networked Learning Effectiveness: An Auto-Ethnographic Evaluation Of Four Experiential Learning Projects

Part IV Applied Technologies for Data Analytics
Chapter 7 Psychological Text Analysis In The Digital Humanities
Chapter 8 Parsing Related Tags Networks From Flickr® To Explore Crowd-Sourced Keyword Associations

Part V Sense-Making in the World
Chapter 9 A Case Study Of Crowdsourcing Imagery Coding In Natural Disasters
Chapter 10 Youtube Comments As Metalanguage Data On Non-Standardized Languages: The Case Of Trinidadian Creole English In Soca Music
Chapter 11 Creating Inheritable Digital Codebooks For Qualitative Researchdata Analysis

Part VI Support for Digital Humanities Work
Chapter 12 Is It Worth It? The Library And Information Science Degreein The Digital Humanities