商品描述
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.
商品描述(中文翻譯)
本書為人文學者和研究人員提供了計算分析的入門介紹，系統性地將傳統研究與 R 程式語言的數據密集能力相結合。透過多樣的文化數據集，涵蓋遊戲、電影、文學和音樂，強調結構化數據的必要性，特別是透過「整潔數據」（tidy data）範式，作為高效分析的基礎實踐。本書從 R 的基本概念開始，逐步深入到複雜的分析技術，包括文本挖掘、情感分析、網絡分析和機器學習，並以豐富的文化範例進行背景說明。這樣做的目的是解密複雜的計算程序，使讀者能夠將這些工具應用於重要的文化研究，並培養出一代具備數據素養的人文學者，能夠駕馭和解讀日益數位化的文化記錄。
作者簡介
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.
作者簡介(中文翻譯)
Nabeel Siddiqui 是薩斯奎哈納大學數位媒體的助理教授，同時擔任教學與學習中心的主任。他的研究專注於數位人文學、計算機視覺、科技史、線上文化和數據科學。他的作品已發表於多個平台，包括 數位人文季刊、程式設計歷史學家 和 國際數位人文期刊。
