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Textual Data Science with R (Hardback)

by Monica Becue-Bertaut

Chapman And Hall/Crc

Hardcover 204 pages English Mar 01, 2019

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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.
Author:
Monica Becue-Bertaut
Publisher:
Chapman And Hall/Crc
Publication Date:
Mar 01, 2019
Number of pages:
204 pages
Language:
English
Binding:
Hardcover
ISBN-10:
1138626910
ISBN-13:
9781138626911