Textual Data Science With R

March 1, 2019|
Textual Data Science With R by Mónica Bécue-bertaut
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Textual Statistics with Rcomprehensively 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.
Mónica Bécue-Bertautis an elected fellow of the International Statistical Institute and was namedChevalier des Palmes Académiquesby the French Government. She taught statistics and data science at the Universitat Politènica de Catalunya and offered numerous guest lectures on textual data science in different countries. Dr. Bécue-Bertau...
Title:Textual Data Science With RFormat:HardcoverProduct dimensions:204 pages, 9.25 X 6.14 X 0 inShipping dimensions:204 pages, 9.25 X 6.14 X 0 inPublished:March 1, 2019Publisher:Crc Press LlcLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:1138626910

ISBN - 13:9781138626911

Appropriate for ages: All ages

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