Description: 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.
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EAN: 9781032093659
UPC: 9781032093659
ISBN: 9781032093659
MPN: N/A
Book Title: Textual Data Science with R (Chapman & Hall/CRC Co
Item Length: 23.4 cm
Number of Pages: 212 Pages
Language: English
Publication Name: Textual Data Science with R
Publisher: Taylor & Francis Ltd
Publication Year: 2021
Subject: Computer Science, Mathematics
Item Height: 234 mm
Item Weight: 313 g
Type: Textbook
Author: Monica Becue-Bertaut
Subject Area: Experimental Psychology
Item Width: 156 mm
Format: Paperback
