You may be interested in our primer/book on text analysis.
https://us.sagepub.com/en-us/nam/analyzing-textual-information/book270847#contents
Ledolter, J. and VanderVelde, L.: Analyzing Textual Information: From Words to Meanings through Numbers. Sage Publishing (Quantitative Applications in the Social Sciences), Volime 188, 2021 (192 pages).
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.
Johannes Ledolter, University of Iowa
https://www.biz.uiowa.edu/faculty/jledolter/
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Johannes Ledolter
Professor
University of Iowa
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Original Message:
Sent: 03-01-2023 20:30
From: Kelly Zou
Subject: Counting on Your Vote!
Dear TAIG (now STA) Members,
Please see my ASA election's candidate statement, attached in PDF, also in the March issue of Amstat News.
Please see a few thoughts, and hope that you will support!
Count on Your Vote! - YouTube
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Kelly H. Zou, PhD, PStat, ASA Fellow
Past-Past Chair, ASA TAIG (now STA)
Vice Chair, Methods and Data Council
AcademyHealth (with ASA as an Organizational Affiliate)
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