Cultural Analytics in R: A Tidy Approach
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Beschreibung
This book offers an introduction to computational analysis for humanities scholars and researchers, systematically bridging traditional inquiry with the data-intensive capabilities of the R programming language. Employing diverse cultural datasets about gaming, film, literature, and music, it emphasizes the need to structure data, particularly through the ‘tidy data’ paradigm, as a foundational practice for efficient analysis. Beginning with the fundamentals of R, the book progresses through sophisticated analytical techniques, including text mining, sentiment analysis, network analysis, and machine learning, all contextualized with rich cultural examples. In doing so, it demystifies complex computational procedures, empowering readers to apply these tools to critical cultural research and fostering a new generation of data-literate humanists equipped to navigate and interpret the increasingly digital cultural record.
This book offers an introduction to computational analysis for humanities scholars and researchers, systematically bridging traditional inquiry with the data-intensive capabilities of the R programming language. Employing diverse cultural datasets about gaming, film, literature, and music, it emphasizes the need to structure data, particularly through the ‘tidy data’ paradigm, as a foundational practice for efficient analysis. Beginning with the fundamentals of R, the book progresses through sophisticated analytical techniques, including text mining, sentiment analysis, network analysis, and machine learning, all contextualized with rich cultural examples. In doing so, it demystifies complex computational procedures, empowering readers to apply these tools to critical cultural research and fostering a new generation of data-literate humanists equipped to navigate and interpret the increasingly digital cultural record.
Gives an introduction to R tailored for humanists and social scientists’ unique research needs Offers a journey through data science using the tidy approach for text/network analysis & ML Bridges computational results with humanist/social science interpretation for meaningful cultural research
Autor*in
Nabeel Siddiqui
Themen in »Cultural Analytics in R: A Tidy Approach«
Cultural Analytics Tidyverse Text Analysis R Network Analysis R Machine Learning Humanities Computational Humanities Computational Social Science Tidy Data Topic Modeling R Data Structuring Exploratory Data Analysis R Data Science