Druck auf Anfrage Neuware - Printed after ordering - This book brings together original contributions that demonstrate how computational methods are redefining humanistic research. It offers practical, critical, and theoretical perspectives on applying digital tools to complex cultural, social, and ethical questions. From AI ethics and immersive heritage narratives to visual sentiment analysis and political speech mining, the book presents diverse case studies with interdisciplinary relevance. Unlike typical manuals or introductory surveys, it emphasizes both innovation and critique, bridging technical proficiency and critical reflection. Aimed at scholars, educators, digital humanists, and advanced students, the book serves as a guide to current debates and applications in computational humanities. Ideal for research, teaching, and institutional reflection, the volume promotes inclusive, ethically aware approaches to cultural data and algorithmic interpretation.

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Bibliographic Details

Title: Computational Methods for the Digital Humanities
Publisher: Springer
Publication Date: 2026
Language: English
ISBN 10: 3032050987
ISBN 13: 9783032050984
Binding: Buch
Condition: Neu
Dimensions: 241 millimeters width by 160 millimeters height by 14 millimeters depth
Weight: 426 grams

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This book brings together original contributions that demonstrate how computational methods are redefining humanistic research. It offers practical, critical, and theoretical perspectives on applying digital tools to complex cultural, social, and ethical questions. From AI ethics and immersive heritage narratives to visual sentiment analysis and political speech mining, the book presents diverse case studies with interdisciplinary relevance. Unlike typical manuals or introductory surveys, it emphasizes both innovation and critique, bridging technical proficiency and critical reflection. Aimed at scholars, educators, digital humanists, and advanced students, the book serves as a guide to current debates and applications in computational humanities. Ideal for research, teaching, and institutional reflection, the volume promotes inclusive, ethically aware approaches to cultural data and algorithmic interpretation.

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