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.

chapter 2|26 pages

Correspondence analysis of textual data

chapter 3|17 pages

Applications of correspondence analysis

chapter 4|35 pages

Clustering in textual data science

chapter 6|25 pages

Multiple factor analysis for textual data

chapter 7|52 pages

Applications and analysis workflows