Textual Data Science with R

1st Edition

Mónica Bécue-Bertaut

Chapman and Hall/CRC
Published March 1, 2019
Reference - 204 Pages - 50 B/W Illustrations
ISBN 9781138626911 - CAT# K31905
Series: Chapman & Hall/CRC Computer Science & Data Analysis

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Summary

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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