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. 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.
Johannes (The University of Iowa, USA) Ledolter & Lea S. (The University of Iowa, USA) VanderVelde
Analyzing Textual Information : From Words to Meanings through Numbers [EPUB ebook]
From Words to Meanings through Numbers
Analyzing Textual Information : From Words to Meanings through Numbers [EPUB ebook]
From Words to Meanings through Numbers
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Język Angielski ● Format EPUB ● Strony 192 ● ISBN 9781544390031 ● Wydawca SAGE Publications ● Opublikowany 2021 ● Do pobrania 6 czasy ● Waluta EUR ● ID 8219602 ● Ochrona przed kopiowaniem Adobe DRM
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