Binding: Hardcover
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.
Title: Textual Data Science With R
Author(s): Becue - Bertaut Monica
Publisher: Taylor & Francis Ltd
Barcode: 9781138626911
Pages: 204 Pages, 50 Illustrations, Black And White
Publication Date: 3/1/2019
Series: Chapman & Hall/CRC Computer Science & Data Analysis
Category: Computer Science