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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