R FOR DIGITAL HUMANITIES: TEXT MINING, CULTURAL ANALYTICS, AND HISTORICAL DATA MODELING WITH REAL-WORLD PROJECTS (Decision Intelligence with R Series, Band 3) - Softcover

ROSELINE, SAM

Softcover

ISBN 13: 9798253957202

Verlag: Independently published, 2026

Inhaltsangabe

R for Digital Humanities: Text Mining, Cultural Analytics, and Historical Data Analysis in R with Practical Projects

Digital humanities is no longer optional it’s the new standard for serious research.

The problem? Most resources either stay theoretical or drown you in tools without showing how to actually apply them.

This book fixes that.

Instead of abstract concepts, it walks through real analytical workflows from messy historical data to structured, interpretable insights using R as the backbone.

You won’t just learn techniques.
You’ll learn how to build complete, working systems for analyzing culture, history, and text at scale.

Inside This Book, You’ll Learn How To:

• Transform raw archival texts into clean, structured datasets
• Perform text mining and topic modeling that actually reveal meaning
• Build context-aware sentiment analysis for historical language
• Map relationships using network analysis with igraph
• Track change using time-series analysis of cultural data
• Visualize patterns using ggplot2 and interactive dashboards
• Apply geospatial analysis (sf) to map culture and movement
• Combine text, network, and spatial data into one unified workflow
• Build predictive and interpretable models for humanities research
• Scale your work into reproducible, production-ready pipelines

What Makes This Book Different

• No theory-heavy fluff everything is applied and practical
• Focus on real-world digital humanities workflows, not isolated techniques
• Emphasis on interpretation, not just computation
• Designed for serious researchers, analysts, and advanced learners

Who This Book Is For

• Digital humanities researchers and scholars
• Historians working with large datasets
• Data analysts exploring cultural or textual data
• Graduate students and academics
• Anyone who wants to apply R to real-world humanities problems

If you want to move beyond surface-level analysis and start building data-driven cultural insight, this book gives you the exact system to do it.

Details zur Ausgabe

• Verlag: Independently published
• Erscheinungsdatum: 2026
• Sprache: Englisch
• ISBN 13: 9798253957202
• Einband: Taschenbuch
• Anzahl der Seiten: 114
• Kontakt zum Hersteller: Manufactured by Amazon on behalf of the author; https://www.amazon.de/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxemburg