eBook: Analyzing Textual Information: From Words to Meanings through Numbers (DRM EPUB)
 
電子書格式: DRM EPUB
作者: Johannes Ledolter, Lea S. VanderVelde 
系列: Quantitative Applications in the Social Sciences
書城編號: 24920177


售價: $325.00

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製造商: SAGE Publications
出版日期: 2021/05/26
頁數: 192
ISBN: 9781544390031

商品簡介
Researchers in the social sciences and beyond are dealing more and more with massive quantities of text data requiring analysis, from historical letters to the constant stream of content in social media. Traditional texts on statistical analysis have focused on numbers, but this book will provide a practical introduction to the quantitative analysis of textual data. Using up-to-date R methods, this book will take readers through the text analysis process, from text mining and pre-processing the text to final analysis. It includes two major case studies using historical and more contemporary text data to demonstrate the practical applications of these methods. Currently, there is no introductory how-to book on textual data analysis with R that is up-to-date and applicable across the social sciences. Code and a variety of additional resources to enrich the use of this book are available on an accompanying website at: https://www.biz.uiowa.edu/faculty/jledolter/analyzing-textual-information/. These resources include data files from the 39th Congress, and also the collection of tweets of President Trump, now no longer available to researchers via Twitter itself.
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Johannes Ledolter 作者作品表

Data Mining and Business Analytics with R (Hardcover)

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