Artículos relacionados a Cultural Analytics in R: A Tidy Approach (Use R!)

Cultural Analytics in R: A Tidy Approach (Use R!) - Tapa blanda

Siddiqui, Nabeel

 
9783031966170: Cultural Analytics in R: A Tidy Approach (Use R!)
Tapa blanda
ISBN 10: 3031966171 ISBN 13: 9783031966170
Editorial: Springer, 2025

Sinopsis

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.

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Acerca del autor

Nabeel Siddiqui is an Assistant Professor of Digital Media at Susquehanna University, where he also serves as the Director of the Center for Teaching and Learning. His research focuses on the digital humanities, computer vision, the history of technology, online culture, and data science. His work has appeared in numerous venues, including Digital Humanities Quarterly, the Programming Historian, and the International Journal of Digital Humanities.

De la contraportada

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.

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Editorial
Springer
Año de publicación
2025
Idioma
Inglés
ISBN 10 
3031966171
ISBN 13 
9783031966170
Encuadernación
Tapa blanda
Número de páginas
301
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