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Textual Data Science With r (Chapman & Hall
Mónica Bécue-Bertaut (Author)
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Routledge
· Paperback
Textual Data Science With r (Chapman & Hall - Mónica Bécue-Bertaut
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Synopsis "Textual Data Science With r (Chapman & Hall"
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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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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