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Textual Data Science with R
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$68.99
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Product Details
Author:
Mónica Bécue-Bertaut
Format:
Paperback
Pages:
212
Publisher:
CRC Press (June 30, 2021)
Language:
English
ISBN-13:
9781032093659
Weight:
11.125oz
Dimensions:
6.125" x 9.1875"
File:
TAYLORFRANCIS-TayFran_260117060204225-20260117.xml
Folder:
TAYLORFRANCIS
List Price:
$68.99
Series:
Chapman & Hall/CRC Computer Science & Data Analysis
Case Pack:
26
As low as:
$65.54
Publisher Identifier:
P-CRC
Discount Code:
H
Country of Origin:
United States
Pub Discount:
30
Audience:
Professional and scholarly
Imprint:
Chapman and Hall/CRC
Overview
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.
