Textual Data Science with R

Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R. Methods discussed include correspondence analysis, clustering, and multiple factor analysis for contigency tables. Each method is illuminated by applications. The book is aimed at researchers and students in statistics, social sciences, hiistory, literature and linguistics. The book will be of interest to anyone from practitioners needing to extract information from texts to ... Read More

Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R. Methods discussed include correspondence analysis, clustering, and multiple factor analysis for contigency tables. Each method is illuminated by applications. The book is aimed at researchers and students in statistics, social sciences, hiistory, literature and linguistics. The book will be of interest to anyone from practitioners needing to extract information from texts to students in the field of massive data, where the ability to process textual data is becoming essential. Read Less

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  	This is a digital edition of this title. Rent eBook (2 Options) 180 Day Rental: $34.10 (Expires May 08, 2025) 365 Day Rental: $40.30 (Expires Nov 09, 2025) Buy eBook Lifetime Access: $61.99 Title: Textual Data Science With R by Mónica Bécue-Bertaut Publisher: Taylor & Francis Print ISBN: 9781138626911, 1138626910 eText ISBN: 9781351816359 Edition: 2019 1st edition Format: EPUB eBook	$34.10 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ