Text Analysis with R for Students of Literature is written with students and scholars of literature in mind but will be applicable to other humanists and social scientists wishing to extend their methodological tool kit to include quantitative and computational approaches to the study of text. Computation provides access to information in text that we simply cannot gather using traditional qualitative methods of close reading and human synthesis. Text Analysis with R for Students of Literature provides a practical introduction to computational text analysis using the open source programming language R. R is extremely popular throughout the sciences and because of its accessibility, R is now used increasingly in other research areas. Readers begin working with text right away and each chapter works through a new technique or process such that readers gain a broad exposure to core R procedures and a basic understanding of the possibilities of computational text analysis at both the micro and macro scale. Each chapter builds on the previous as readers move from small scale “microanalysis” of single texts to large scale “macroanalysis” of text corpora, and each chapter concludes with a set of practice exercises that reinforce and expand upon the chapter lessons. The book’s focus is on making the technical palatable and making the technical useful and immediately gratifying.
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还挺容易上手的
评分文科生走向码农系列之书 照着做了 很好玩
评分非常好的一本书，不像有些书一样在一些无用的基础上长篇大论，废话少直接上手，适合learn by doing的人
评分非常好的一本书，不像有些书一样在一些无用的基础上长篇大论，废话少直接上手，适合learn by doing的人
评分非常好的一本书，不像有些书一样在一些无用的基础上长篇大论，废话少直接上手，适合learn by doing的人
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