Textual data science with R (2017)
in: Chapman & Hall/CRC computer science and data analysis series
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.
MATHEMATICS / Probability & Statistics / General, BUSINESS & ECONOMICS / Statistics, COMPUTERS / Database Management / Data Mining, Discourse analysis, Computational linguistics, R (Computer program language), Statistical methods