Textual Data Science with R (Paperback)

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.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Series:	Chapman & Hall/CRC Computer Science & Data Analysis
Release date:	June 2021
First published:	2018
Authors:	Monica Becue-Bertaut
Dimensions:	234 x 156mm (L x W)
Format:	Paperback
Pages:	212
ISBN-13:	978-1-03-209365-9
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Social sciences > Psychology > Psychological methodology > General Books > Computing & IT > Applications of computing > Databases > General
LSN:	1-03-209365-X
Barcode:	9781032093659

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