| 书目名称 | Text Analysis with R for Students of Literature |
| 编辑 | Matthew L. Jockers |
| 视频video | |
| 概述 | Book is specifically designed for students and scholars with no programming experience who wish to learn R for text analysis.Reader will move with ease from simple single text analysis to corpora leve |
| 丛书名称 | Quantitative Methods in the Humanities and Social Sciences |
| 图书封面 |  |
| 描述 | .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 atboth 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 wit |
| 出版日期 | Textbook 20141st edition |
| 关键词 | Computational Literary Studies; Corpus Linguistics and R; Digital Humanities; Linguistic Computing; Prog |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-03164-4 |
| isbn_softcover | 978-3-319-34919-0 |
| isbn_ebook | 978-3-319-03164-4Series ISSN 2199-0956 Series E-ISSN 2199-0964 |
| issn_series | 2199-0956 |
| copyright | Springer International Publishing Switzerland 2014 |
发表于 2025-3-21 17:21:44
