Textual Data Science with R

Download or read book Textual Data Science with R written by Mónica Bécue-Bertaut and published by CRC Press. This book was released on 2019-03-11 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.